Main.ApplicationWebinars History

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December 05, 2014, at 12:00 AM by 174.148.74.250 -
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</td></tr><tr><td>Advances in Chemical Production Scheduling

to:

</td></tr><tr><td>Upstream Flow Assurance

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<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison

to:

<br>Jan 21, 2015<br>2 PM Eastern</a> </td><td>Clint Aichele </td><td>Oklahoma State University

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</td></tr><tr><td>Upstream Flow Assurance

to:

</td></tr><tr><td>Advances in Chemical Production Scheduling

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<br>Jan 21, 2015<br>2 PM Eastern</a> </td><td>Clint Aichele </td><td>Oklahoma State University

to:

<br>Jan 27, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison

December 01, 2014, at 09:03 AM by 107.188.175.164 -
Added lines 185-201:

</td></tr><tr><td>Topic TBD </td><td> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">24-02-2015 09:00:00</span>
    <span class="_end">24-02-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>

<br>Feb 24, 2015<br>11 AM Eastern</a> </td><td>Rahul Bindlish </td><td>Dow

November 22, 2014, at 10:36 PM by 107.188.175.164 -
Changed line 95 from:

</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M1ORHID567X6AJIP12QPUQW73Q-18BV'>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes</a>

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</td><td>Ray Smith

to:

</td><td><a href='/wiki/uploads/Main/2014_12_Raymond_Smith.pdf'>Raymond L. Smith</a>

November 18, 2014, at 09:55 PM by 71.56.119.217 -
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</td><td><a href='http://youtu.be/rrtPn6GKMlU'><img src='http://img.youtube.com/vi/cjMkVHjhSBI/default.jpg'></a>

to:

</td><td><a href='http://youtu.be/rrtPn6GKMlU'><img src='http://img.youtube.com/vi/rrtPn6GKMlU/default.jpg'></a>

November 18, 2014, at 03:34 PM by 71.56.119.217 -
Changed line 95 from:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MA7VA36PWXY7SMCNJVR89RI1DX-18BV'>Dynamic Modeling and Optimization Advances with gPROMS</a>

to:

</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes

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    <span class="_start">14-10-2014 09:00:00</span>
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    <span class="_start">02-12-2014 09:00:00</span>
    <span class="_end">02-12-2014 10:00:00</span>
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<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/uploads/Main/2014_10_Pieter_Schmal.pdf'>Pieter Schmal</a> </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes

to:

<br>Dec 2, 2014<br>11 AM Eastern</a> </td><td>Ray Smith </td><td>Environmental Protection Agency (EPA) </td></tr>

</td></tr><tr><td>Advances in Chemical Production Scheduling

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    <span class="_start">20-01-2015 09:00:00</span>
    <span class="_end">20-01-2015 10:00:00</span>
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<br>Dec 2, 2014<br>11 AM Eastern</a> </td><td>Ray Smith </td><td>Environmental Protection Agency (EPA)

to:

<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison

Changed line 133 from:

</td></tr><tr><td>Advances in Chemical Production Scheduling

to:

</td></tr><tr><td>Upstream Flow Assurance

Changed lines 137-138 from:
    <span class="_start">20-01-2015 09:00:00</span>
    <span class="_end">20-01-2015 10:00:00</span>
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    <span class="_start">21-01-2015 12:00:00</span>
    <span class="_end">21-01-2015 13:00:00</span>
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<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison

to:

<br>Jan 21, 2015<br>2 PM Eastern</a> </td><td>Clint Aichele </td><td>Oklahoma State University

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</td></tr><tr><td>Upstream Flow Assurance </td><td nowrap>

to:

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition </td><td>

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    <span class="_start">02-03-2015 12:00:00</span>
    <span class="_end">02-03-2015 13:00:00</span>
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<br>Jan 21, 2015<br>2 PM Eastern</a> </td><td>Clint Aichele </td><td>Oklahoma State University </td></tr>

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition

to:

<br>Feb 4, 2015<br>2 PM Eastern</a> </td><td>Michael Hoepfner </td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

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    <span class="_end">10-02-2015 10:00:00</span>
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<br>Feb 4, 2015<br>2 PM Eastern</a> </td><td>Michael Hoepfner </td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

to:

<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD

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    <span class="_end">10-03-2015 10:00:00</span>
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<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD </td><td> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">10-03-2015 09:00:00</span>
    <span class="_end">10-03-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
Added lines 219-225:

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td><a href='http://youtu.be/5o-tI7Tg9LA'><img src='http://img.youtube.com/vi/5o-tI7Tg9LA/default.jpg'></a> </td><td nowrap>Oct 14, 2014 </td><td nowrap><a href='/wiki/uploads/Main/2014_10_Pieter_Schmal.pdf'>Pieter Schmal</a> </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

November 08, 2014, at 08:41 AM by 107.188.175.164 -
Changed line 5 from:

Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online. Sessions are sponsored by the Computing and Systems Technology (CAST) division of the American Institute of Chemical Engineers (AIChE) as the WebCAST series.

to:

Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online. Sessions are sponsored by the Computing and Systems Technology (CAST) division of the American Institute of Chemical Engineers (AIChE) as the WebCAST series.

October 21, 2014, at 11:15 AM by 10.5.113.189 -
Changed line 171 from:

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

to:

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition

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    <span class="_start">10-02-2015 09:00:00</span>
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    <span class="_start">02-03-2015 12:00:00</span>
    <span class="_end">02-03-2015 13:00:00</span>
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<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition

to:

<br>Feb 4, 2015<br>2 PM Eastern</a> </td><td>Michael Hoepfner </td><td>University of Utah

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

Changed lines 192-193 from:
    <span class="_start">04-03-2015 09:00:00</span>
    <span class="_end">04-03-2015 10:00:00</span>
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    <span class="_start">10-02-2015 09:00:00</span>
    <span class="_end">10-02-2015 10:00:00</span>
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<br>Mar 4, 2015<br>2 PM Eastern</a> </td><td>Michael Hoepfner </td><td>University of Utah

to:

<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

October 20, 2014, at 05:49 PM by 10.5.113.189 -
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</td></tr>

</td></tr><tr><td>Upstream Flow Assurance </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">21-01-2015 12:00:00</span>
    <span class="_end">21-01-2015 13:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>

<br>Jan 21, 2015<br>2 PM Eastern</a> </td><td>Clint Aichele </td><td>Oklahoma State University

October 13, 2014, at 11:15 AM by 107.188.175.164 -
Changed line 95 from:

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MA7VA36PWXY7SMCNJVR89RI1DX-18BV'>Dynamic Modeling and Optimization Advances with gPROMS</a>

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</td><td nowrap>Pieter Schmal

to:

</td><td nowrap><a href='/wiki/uploads/Main/2014_10_Pieter_Schmal.pdf'>Pieter Schmal</a>

October 03, 2014, at 09:49 PM by 107.188.175.164 -
Deleted lines 112-130:

</td></tr><tr><td>Topic TBD </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>

<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

September 27, 2014, at 08:46 PM by 107.188.175.164 -
Changed line 201 from:

<br>Mar 10, 2015<br>2 PM Eastern</a>

to:

<br>Mar 4, 2015<br>2 PM Eastern</a>

September 27, 2014, at 08:45 PM by 107.188.175.164 -
Added lines 187-203:

</td></tr><tr><td>Flow Assurance: Asphaltene Deposition </td><td> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">04-03-2015 09:00:00</span>
    <span class="_end">04-03-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>

<br>Mar 10, 2015<br>2 PM Eastern</a> </td><td>Michael Hoepfner </td><td>University of Utah

September 20, 2014, at 01:10 PM by 107.188.175.164 -
Changed line 95 from:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M91DAN5S2LVKY9LA1WAEAQSTPL-18BV'>Control of Artificial Pancreas Systems</a>

to:

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

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    <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a> </td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

to:

<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>Topic TBD

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    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
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<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>Topic TBD

to:

<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes

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    <span class="_end">21-10-2014 10:00:00</span>
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    <span class="_start">02-12-2014 09:00:00</span>
    <span class="_end">02-12-2014 10:00:00</span>
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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana

to:

<br>Dec 2, 2014<br>11 AM Eastern</a> </td><td>Ray Smith </td><td>Environmental Protection Agency (EPA)

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</td></tr><tr><td>GREENSCOPE – A Comprehensive and Systematic Sustainability Evaluation Tool for Chemical Processes

to:

</td></tr><tr><td>Advances in Chemical Production Scheduling

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    <span class="_end">02-12-2014 10:00:00</span>
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    <span class="_start">20-01-2015 09:00:00</span>
    <span class="_end">20-01-2015 10:00:00</span>
Changed lines 166-168 from:

<br>Dec 2, 2014<br>11 AM Eastern</a> </td><td>Ray Smith </td><td>Environmental Protection Agency (EPA)

to:

<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison

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</td></tr><tr><td>Advances in Chemical Production Scheduling </td><td nowrap>

to:

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>

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    <span class="_end">10-02-2015 10:00:00</span>
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<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison </td></tr>

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

to:

<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD

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    <span class="_start">10-03-2015 09:00:00</span>
    <span class="_end">10-03-2015 10:00:00</span>
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<br>Feb 10, 2015<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Topic TBD </td><td> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">10-03-2015 09:00:00</span>
    <span class="_end">10-03-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
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</td></tr><tr><td>Control of Artificial Pancreas Systems </td><td><a href='http://youtu.be/rrtPn6GKMlU'><img src='http://img.youtube.com/vi/cjMkVHjhSBI/default.jpg'></a> </td><td nowrap>Sept 16, 2014 </td><td nowrap><a href='/wiki/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a> </td><td>Illinois Institute of Technology

September 20, 2014, at 01:07 PM by 107.188.175.164 -
Added lines 205-221:

</td></tr><tr><td>Topic TBD </td><td> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">10-03-2015 09:00:00</span>
    <span class="_end">10-03-2015 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>

<br>Mar 10, 2015<br>11 AM Eastern</a> </td><td>John Bagterp J๘rgensen </td><td>Technical University of Denmark

September 10, 2014, at 03:20 PM by 10.5.113.106 -
Changed line 110 from:

</td><td nowrap><a href='/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a>

to:

</td><td nowrap><a href='/wiki/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a>

September 10, 2014, at 03:18 PM by 10.5.113.106 -
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</td><td nowrap><a href='/uploads/Main/2014_Ali_Cinar.pdf'>Ali Cinar</a>

to:

</td><td nowrap><a href='/uploads/Main/2014_09_Ali_Cinar.pdf'>Ali Cinar</a>

September 10, 2014, at 03:17 PM by 10.5.113.106 -
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</td></tr><tr><td>Control of Artificial Pancreas Systems

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M91DAN5S2LVKY9LA1WAEAQSTPL-18BV'>Control of Artificial Pancreas Systems</a>

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</td><td nowrap>Ali Cinar

to:

</td><td nowrap><a href='/uploads/Main/2014_Ali_Cinar.pdf'>Ali Cinar</a>

August 22, 2014, at 09:00 AM by 173.149.194.29 -
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</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>

to:

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap>

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    <span class="_start">14-10-2014 09:00:00</span>
    <span class="_end">14-10-2014 10:00:00</span>
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<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

to:
    <span class="_date_format">DD/MM/YYYY</span>

<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>Topic TBD

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    <span class="_end">21-10-2014 10:00:00</span>
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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCJ1HR8BOH61AWQZ2I8M7RSOW4-18BV'>Structured Optimization Modeling with Pyomo and Coopr</a>

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

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<br>June 24, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a> </td><td>Sandia National Laboratories

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

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<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

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<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison </td></tr>

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</td></tr><tr><td><a href='http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water'>The Nexus of Energy and Water</a> </td><td nowrap> </td><td nowrap>May 28, 2014 </td><td nowrap><a href='http://www.me.utexas.edu/directory/faculty/webber/michael/'>Michael Webber</a> </td><td>The University of Texas at Austin

May 14, 2014, at 03:02 PM by 10.5.113.178 -
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</td><td nowrap>John Siirola

to:

</td><td nowrap><a href='/wiki/uploads/Main/2014_06_John_Siirola.pdf'>John Siirola</a>

May 13, 2014, at 02:24 PM by 10.5.113.178 -
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</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr

to:

</td></tr><tr><td>Title TBD

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<br>June 10, 2014<br>11 AM Eastern</a> </td><td nowrap>John Siirola </td><td>Sandia National Laboratories

</td></tr><tr><td>Title TBD

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<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>Urmila Diwekar </td><td>Vishwamitra Research Institute

</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr

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<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>Urmila Diwekar </td><td>Vishwamitra Research Institute

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<br>June 24, 2014<br>11 AM Eastern</a> </td><td nowrap>John Siirola </td><td>Sandia National Laboratories

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<br>June 10, 2014<br>11 AM Eastern</a>

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</td></tr><tr><td>Title TBD

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</td></tr><tr><td>Structured Optimization Modeling with Pyomo and Coopr

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</td><td>Sandia National Laboratory

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</td><td>Sandia National Laboratories

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</td><td nowrap>Michael Webber

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</td><td nowrap><a href='http://www.me.utexas.edu/directory/faculty/webber/michael/'>Michael Webber</a>

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</td></tr><tr><td>Advances in Chemical Production Scheduling </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">20-01-2014 09:00:00</span>
    <span class="_end">20-01-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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    <span class="_date_format">DD/MM/YYYY</span>

<br>Jan 20, 2015<br>11 AM Eastern</a> </td><td>Christos Maravelias </td><td>University of Wisconsin-Madison </td></tr>

May 08, 2014, at 12:36 PM by 10.5.113.178 -
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<br>June 3, 2014<br>2 PM Eastern</a>

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<br>May 28, 2014<br>2 PM Eastern</a>

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</td></tr><tr><td><a href='http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water'>The Nexus of Energy and Water</a> </td><td nowrap> <a href="http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">28-5-2014 12:00:00</span>
    <span class="_end">28-5-2014 13:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://www.aiche.org/resources/chemeondemand/webinars/nexus-energy-and-water</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>

<br>June 3, 2014<br>2 PM Eastern</a> </td><td nowrap>Michael Webber </td><td>The University of Texas at Austin

May 08, 2014, at 12:33 PM by 10.5.113.178 -
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<br>May 27, 2014<br>11 AM Eastern</a>

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<br>June 3, 2014<br>11 AM Eastern</a>

May 08, 2014, at 08:07 AM by 10.5.113.178 -
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</td></tr><tr><td>3 Minute Speed Networking </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">22-04-2014 09:00:00</span>
    <span class="_end">22-04-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>

<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

April 16, 2014, at 09:20 AM by 23.255.228.67 -
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<br>June 17, 2014<br>11 AM Eastern</a>

to:

<br>May 27, 2014<br>11 AM Eastern</a>

April 16, 2014, at 09:20 AM by 23.255.228.67 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4SM1B8Z07E957OOW8FIDPB4EU-18BV'>Reduced Order Modeling of Residential Buildings from Smart Meter Data</a>

to:

</td></tr><tr><td>3 Minute Speed Networking

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<br>Apr 15, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a> </td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking

to:

<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Title TBD

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

to:

<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>John Siirola </td><td>Sandia National Laboratory

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</td></tr><tr><td>Meters to Models: Using Smart Meter Data to Predict and Control Home Energy Use </td><td><a href='http://youtu.be/ttyGCkgLWwM'><img src='http://img.youtube.com/vi/ttyGCkgLWwM/default.jpg'></a> </td><td>Apr 15, 2014 </td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a> </td><td>University of Texas at Austin

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</td><td nowrap><a href='/wiki/upload/Main/2014_03_Krystian_Perez.pdf'>Krystian Perez</a>

to:

</td><td nowrap><a href='/wiki/uploads/Main/2014_04_Krystian_Perez.pdf'>Krystian Perez</a>

April 13, 2014, at 04:22 AM by 31.221.87.81 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MAXZ4UWO079ZXVCV7SFJUES7Y1-18BV'>Multi‐echelon Supply Chain Inventory Optimization</a>

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M4SM1B8Z07E957OOW8FIDPB4EU-18BV'>Reduced Order Modeling of Residential Buildings from Smart Meter Data</a>

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a> </td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data

to:

<br>Apr 15, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='/wiki/upload/Main/2014_03_Krystian_Perez.pdf'>Krystian Perez</a> </td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking

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<br>Apr 15, 2014<br>11 AM Eastern</a> </td><td nowrap>Krystian Perez </td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking

to:

<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Title TBD

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Title TBD

to:

<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>Urmila Diwekar </td><td>Vishwamitra Research Institute

</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>Urmila Diwekar </td><td>Vishwamitra Research Institute

</td></tr><tr><td>Control of Artificial Pancreas Systems </td><td nowrap>

to:

<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>

to:

<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap>

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<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

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<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>Topic TBD

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<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

</td></tr><tr><td>Topic TBD </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">21-10-2014 09:00:00</span>
    <span class="_end">21-10-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td>Multi-echelon Supply Chain Inventory Optimization </td><td><a href='http://youtu.be/MKfgF3wzsdc'><img src='http://img.youtube.com/vi/MKfgF3wzsdc/default.jpg'></a> </td><td>Mar 25, 2014 </td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a> </td><td>Dow Chemical

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</td></tr><tr><td>Title TBD </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
    <span class="_start">17-06-2014 09:00:00</span>
    <span class="_end">17-06-2014 10:00:00</span>
    <span class="_zonecode">9</span>
    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
    <span class="_all_day_event">false</span>
    <span class="_date_format">DD/MM/YYYY</span>

<br>June 17, 2014<br>11 AM Eastern</a> </td><td nowrap>Urmila Diwekar </td><td>Vishwamitra Research Institute

March 19, 2014, at 11:26 PM by 23.255.228.67 -
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</td><td nowrap><a href='2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>

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</td><td nowrap><a href='/wiki/uploads/Main/2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>

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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MAXZ4UWO079ZXVCV7SFJUES7Y1-18BV'>Multi‐echelon Supply Chain Inventory Optimization</a>

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</td><td nowrap>Anshul Agarwal<br>John Wassick

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</td><td nowrap><a href='2014_03_Anshul_Agarwal_DOW.pdf'>Anshul Agarwal</a>

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</td><td>Mar 11, 2014

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBK6L1F1NCKLISQQ1PBRQVEC6E-18BV'>Parallel Computing and Opportunities in Nonlinear Optimization</a> </td><td>

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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical </td><td nowrap>

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<br>Mar 11, 2014<br>11 AM Eastern</a> </td><td><a href='/wiki/uploads/Main/2014_03_Carl_Laird.pdf'>Carl Laird</a> </td><td>Purdue University

</td></tr><tr><td>Supply Chain Optimization in Dow Chemical

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data

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<br>Apr 15, 2014<br>11 AM Eastern</a> </td><td nowrap>Krystian Perez </td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking

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<br>Apr 15, 2014<br>11 AM Eastern</a> </td><td nowrap>Krystian Perez </td><td>University of Texas at Austin

</td></tr><tr><td>3 Minute Speed Networking

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a>

to:

<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

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</td></tr><tr><td>Control of Artificial Pancreas Systems </td><td nowrap>

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>

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<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

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</td></tr><tr><td>Parallel Computing and Opportunities in Nonlinear Optimization </td><td><a href='http://youtu.be/0WnZhoeUYkk'><img src='http://img.youtube.com/vi/0WnZhoeUYkk/default.jpg'></a> </td><td>Mar 11, 2014<br>11 AM Eastern</a> </td><td><a href='/wiki/uploads/Main/2014_03_Carl_Laird.pdf'>Carl Laird</a> </td><td>Purdue University

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M8JSQZNIK7WKY6J9L5HEIQ4Q0E-18BV'>Global Optimization of MINLP by Evolutionary Algorithms</a>

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

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<br>Sept 30, 2014<br>11 AM Eastern</a> </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

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    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms </td><td><a href='http://youtu.be/oCVib-sRbjY'><img src='http://img.youtube.com/vi/oCVib-sRbjY/default.jpg'></a> </td><td>Feb 25, 2014 <a href='/wiki/uploads/Main/2014_02_Martin_Schlueter_MIDACO.pdf'>Martin Schlueter</a> </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data

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</td></tr><tr><td>3 Minute Speed Networking

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M57C7RRF9ZS2BPWXE7EWGQN7FB-18BV'>Industrial Flowsheet Optimization and Estimation using IMPL</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M8JSQZNIK7WKY6J9L5HEIQ4Q0E-18BV'>Global Optimization of MINLP by Evolutionary Algorithms</a>

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<br>Feb 25, 2014<br>5 PM Eastern</a> </td><td>Martin Schlueter </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

</td></tr><tr><td>Control of Artificial Pancreas Systems

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</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

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<br>Oct 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a> </td></tr>

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</td></tr><tr><td>Topic TBD </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

    Add to Calendar
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    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
    <span class="_organizer_email">support@apmonitor.com</span>
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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL </td><td><a href='http://youtu.be/ZR0ac1ZOuIo'><img src='http://img.youtube.com/vi/ZR0ac1ZOuIo/default.jpg'></a> </td><td>Feb 18, 2014 <a href='/wiki/uploads/Main/2014_02_Jeffrey_Kelly.pdf'>Jeffrey Kelly</a> </td><td>Industrial Algorithms

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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M57C7RRF9ZS2BPWXE7EWGQN7FB-18BV'>Industrial Flowsheet Optimization and Estimation using IMPL</a>

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</td><td>Antonio Flores Tlacuahuac

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</td></tr><tr><td>Topic TBD </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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    <span class="_summary">Symposium on Modeling and Optimization</span>
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<br>Oct 21, 2014<br>11 AM Eastern</a> </td><td nowrap>Antonio Flores Tlacuahuac </td><td>Universidad Iberoamericana </td></tr>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M10CMN75ACBW9KHDWJM3QYNUN1-18BV'>Feedback Control of <br>Stochastic Self-Assembly</a>

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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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<br>Feb 18, 2014<br>11 AM Eastern</a> </td><td>Jeff Kelly </td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms

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<br>Feb 25, 2014<br>5 PM Eastern</a> </td><td>Martin Schlueter </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization

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<br>Feb 25, 2014<br>5 PM Eastern</a> </td><td>Martin Schlueter </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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<br>Mar 11, 2014<br>11 AM Eastern</a> </td><td>Carl Laird </td><td>Purdue University

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

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</td></tr><tr><td>Control of Artificial Pancreas Systems

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</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
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    <span class="_organizer">John Hedengren</span>
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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly </td><td><a href='http://youtu.be/PkvtPEjqLNU'><img src='http://img.youtube.com/vi/PkvtPEjqLNU/default.jpg'></a> </td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf'>Martha Grover</a> </td><td>Georgia Tech

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</td><td><a href='/wiki/uploads/Main/2014_02_Martha_Grover.pdf>Martha Grover</a>

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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M10CMN75ACBW9KHDWJM3QYNUN1-18BV'>Feedback Control of <br>Stochastic Self-Assembly</a>

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</td><td>Purdue University

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCGPSBB7BJGA55TH6JVZMDZLQU-18BV'>New Interface Developments <br>with the AMPL Modeling Language & System</a> </td><td nowrap>

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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly </td><td>

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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly

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<br>Feb 11, 2014<br>11 AM Eastern</a> </td><td>Martha Grover </td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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<br>Feb 11, 2014<br>11 AM Eastern</a> </td><td>Martha Grover </td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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<br>Feb 18, 2014<br>11 AM Eastern</a> </td><td>Jeff Kelly </td><td>Industrial Algorithms

</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms

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<br>Feb 18, 2014<br>11 AM Eastern</a> </td><td>Jeff Kelly </td><td>Industrial Algorithms

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<br>Feb 25, 2014<br>5 PM Eastern</a> </td><td>Martin Schlueter </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

</td></tr><tr><td>Parallel Optimization

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<br>Mar 4, 2014<br>11 AM Eastern</a> </td><td>Carl Laird </td><td>Texas A&M

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

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<br>Mar 25, 2014<br>11 AM Eastern</a> </td><td nowrap>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

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</td></tr><tr><td>Control of Artificial Pancreas Systems

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</td></tr><tr><td>Control of Artificial Pancreas Systems

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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Ali Cinar </td><td>Illinois Institute of Technology

</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS

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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
    <span class="_location">WebEx</span>
    <span class="_organizer">John Hedengren</span>
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</td></tr><tr><td>New Interface Developments <br>with the AMPL Modeling Language & System </td><td nowrap><a href='http://youtu.be/8n1pd_cnRlw'><img src='http://img.youtube.com/vi/8n1pd_cnRlw/default.jpg'></a> </td><td nowrap><a href='/wiki/uploads/Main/2014_01_Robert_Fourer_AMPL.pdf'>Robert Fourer</a> </td><td>Northwestern University

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</td><td><a href='http://youtu.be/pG0jQkwEivc'><img src='http://img.youtube.com/vi/pG0jQkwEivc/default.jpg'></a><br><a href='/wiki/uploads/Main/2014_01_Garcia_Hybrid_Energy.pdf'>Presentation</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MCGPSBB7BJGA55TH6JVZMDZLQU-18BV'>New Interface Developments <br>with the AMPL Modeling Language & System</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>

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<br>Jan 28, 2014<br>11 AM Eastern</a> </td><td nowrap>Robert Fourer </td><td>Northwestern University

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<br>Feb 11, 2014<br>11 AM Eastern</a> </td><td>Martha Grover </td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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</td><td><a href='/uploads/Main/WebCAST_Victor_Zavala.pdf'>Victor Zavala</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBELJJTFW1ANQTW4RP8C7URO59-18BV'>Process Integration & Optimization Using Dynamic Systems Models</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>

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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>

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<br>Jan 21, 2014<br>11 AM Eastern </a> </td><td>Victor Zavala </td><td>Argonne National Laboratory

</td></tr><tr><td>New Interface Developments <br>with the AMPL Modeling Language & System

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<br>Jan 28, 2014<br>11 AM Eastern</a> </td><td nowrap>Robert Fourer </td><td>Northwestern University

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<br>Feb 11, 2014<br>11 AM Eastern</a> </td><td>Martha Grover </td><td>Georgia Tech

</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language)

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</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms

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<br>Feb 25, 2014<br>5 PM Eastern</a> </td><td>Martin Schlueter </td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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<br>Mar 4, 2014<br>11 AM Eastern</a> </td><td>Carl Laird </td><td>Texas A&M

</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling

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</td></tr><tr><td>Dynamic Modeling and Optimization Advances with gPROMS </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
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    <span class="_summary">Symposium on Modeling and Optimization</span>
    <span class="_description">Join Webinar at http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars</span>
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<br>Sept 16, 2014<br>11 AM Eastern</a> </td><td nowrap>Pieter Schmal </td><td><a href='http://www.psenterprise.com'>PSE</a>

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</td></tr><tr><td>3 Minute Speed Networking </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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    <span class="_summary">Symposium on Modeling and Optimization</span>
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<br>Apr 22, 2014<br>11 AM Eastern</a> </td><td nowrap><a href='https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing'>Sign up here</a> </td><td>

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Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online.

to:

Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online. Sessions are sponsored by the Computing and Systems Technology (CAST) division of the American Institute of Chemical Engineers (AIChE) as the WebCAST series.

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(:cell:)

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  • Nominate a seminar speaker
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</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td nowrap>Anand Govindarajan<br>Upasana<br>Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td nowrap><a href='http://ate.so/?0PHkr0T'>Jan 14, 2014<br>9 AM MST</a> </td><td nowrap>Richard Boardman<br>Humberto Garcia </td><td>Idaho National Laboratory

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>

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<br>Jan 21, 2014<br>9 AM MST

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<br>Jan 14, 2014<br>11 AM Eastern</a> </td><td nowrap>Richard Boardman<br>Humberto Garcia </td><td>Idaho National Laboratory

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a> </td><td nowrap> <a href="http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars" title="Add to Calendar" class="addthisevent">

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<br>Apr 15, 2014<br>11 AM Eastern</a>

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<br>Jan 21, 2014<br>9 AM MST

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</td><td nowrap><a href=''http://ate.so/?JUD3H2r>Jan 14, 2014<br>9 AM MST</a>

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</td><td nowrap><a href='http://ate.so/?JUD3H2r'>Jan 14, 2014<br>9 AM MST</a>

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</td><td><b>Date / Time</b>

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</td><td>BYU.

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</td><td>BYU

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</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>

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</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a>

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<br><br><a href='/wiki/uploads/Main/mars_rover_curiosity.pdf'>Slides</a>

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</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>

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</td><td><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>

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</td><td><b>Description</b>

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</td><td><b>Affiliation</b>

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</td><td>This presentation details environmental and economic progress on co-generation or multi-generation systems with SOFCs, nuclear, coal, natural gas power generation.

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</td><td>McMaster University

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</td><td nowrap>Hugh Hales, BYU </td><td>Hugh Hales shares thoughts on careers, leadership, and reservoir engineering research.

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</td><td nowrap>Hugh Hales </td><td>Brigham Young University

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</td><td>Reza Asgharzadeh Shishivan, BYU </td><td>PhD prospectus defense on monitoring and control of energy systems, particularly with oil and gas drilling and production systems

to:

</td><td>Reza Asgharzadeh Shishivan </td><td>Brigham Young University

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</td><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Improving Solid Oxide Fuel Cell performance through dynamic optimization.</a>

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</td><td>ExxonMobil Chemical<br>BYU

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</td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations.

to:

</td><td>Itasca Houston, Inc

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</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa </td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.

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</td><td>John Eason and Selen Cremaschi </td><td>Univ of Tulsa

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</td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

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</td><td>Milan Vukov<br>Moritz Diehl </td><td>KU Leuven

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</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin </td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.

to:

</td><td nowrap>Cara R. Touretzky<br>Michael Baldea </td><td>UT Austin

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</td><td>Wesley Cole, UT Austin <br><br>Jeremy Castagno, BYU </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

to:

</td><td>Wesley Cole<br><br>Jeremy Castagno </td><td>UT Austin<br><br>BYU

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</td><td>Juan Ruiz, Visual MESA </td><td>Even though there has been a significant increase in the use of MIP models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP).

to:

</td><td>Juan Ruiz </td><td>Visual MESA

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</td><td>Kody Powell, UT Austin </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.

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</td><td>Kody Powell </td><td>UT Austin

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</td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

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</td><td>Todd Barber </td><td>NASA JPL

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</td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

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</td><td>Liang Sun </td><td>BYU

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</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.

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</td><td>BASF

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</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.

</td></tr><tr><td>Optimization of Design Under Uncertainty

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</td><td>BYU

</td></tr><tr><td>Optimization of Design Under Uncertainty<br><a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

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</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

</td></tr><tr><td>SBML Models in APM

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</td><td>BYU

</td></tr><tr><td><a href='/wiki/index.php/Main/SBML'>SBML Models in APM</a>

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</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.

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</td><td>BYU.

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</td><td>Trevor Slade and Reza Asgharzadeh </td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

</td></tr><tr><td>Optimal Boiler Control

to:

</td><td>Trevor Slade<br>Reza Asgharzadeh </td><td>BYU

</td></tr><tr><td>Optimal Boiler Control - <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Demo Files</a>

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</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers. <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>

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</td><td>BYU

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</td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing. Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.

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</td><td>CMiD Solutions

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</td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff </td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants. The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB

to:

</td><td>Reza Asgharzadeh<br>Chris Lyden<br>Jim Huff </td><td>BYU / PAS

</td></tr><tr><td>Nonlinear Programming with <a href='http://apmonitor.com/wiki/index.php/Main/MATLAB'>APM MATLAB</a>

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</td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization. Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Nonlinear Programming with APM Python

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</td><td>BYU

</td></tr><tr><td>Nonlinear Programming with <a href='http://apmonitor.com/wiki/index.php/Main/PythonApp'>APM Python</a>

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</td><td>The APM interface extends Python to be used a variety of optimization applications. Dynamic optimization programming applications are demonstrated with Python.

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</td><td>BYU

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</td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking. Application of SOFCs in load following applications is discussed to improve lifecycle costs.

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</td><td>BYU

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</td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints. Application of a UAV application is discussed from the MAGICC Lab group at BYU.

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</td><td>BYU

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</td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

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</td><td>Kody Powell </td><td>UT Austin

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</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

to:

</td><td>BYU

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</td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties. This application is using a PDAE model for estimation and control. The model validation, control, and experimental data testing are discussed.

to:

</td><td>BYU

December 07, 2013, at 08:54 PM by 23.255.228.67 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MBELJJTFW1ANQTW4RP8C7URO59-18BV'>Process Integration & Optimization Using Dynamic Systems Models</a> </td><td nowrap>Jan 14, 2013 </td><td nowrap>9 AM MST </td><td nowrap>Richard Boardman<br>Humberto Garcia </td><td>Idaho National Laboratory

December 07, 2013, at 12:36 AM by 23.255.228.67 -
Changed lines 53-54 from:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a> </td><td nowrap>Dec 3, 2013

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a> </td><td nowrap>Jan 21, 2013

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</td><td>Jose Mojica </td><td>Brigham Young University

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a> </td><td nowrap>Jan 21, 2013 </td><td nowrap>9 AM MST

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5 Steps to Start a Technical Presentation

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Past Presentations

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<iframe width="560" height="315" src="http://www.youtube.com/embed/lWBr7ploeNM" frameborder="0" allowfullscreen></iframe> (:htmlend:)

Past Presentations

(:html:)

<br> <iframe width="560" height="315" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe> <br>

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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning </td><td><a href='http://youtu.be/0PbPhGcVtAw'><img src='http://img.youtube.com/vi/0PbPhGcVtAw/default.jpg'></a> </td><td nowrap>Dec 3, 2013 </td><td>Jose Mojica </td><td>Brigham Young University

November 19, 2013, at 09:59 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/xq3ku8drlXA'>Presentation (62 min)</a>

to:

</td><td><a href='http://youtu.be/xq3ku8drlXA'><img src='http://img.youtube.com/vi/xq3ku8drlXA/default.jpg'></a>

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</td><td><a href='http://youtu.be/HAhXf9RBmhI'>Panel Discussion (61 min)</a>

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</td><td><a href='http://youtu.be/HAhXf9RBmhI'><img src='http://img.youtube.com/vi/HAhXf9RBmhI/default.jpg'></a>

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</td><td><a href='http://youtu.be/B_4DZ5UNiCo'>Presentation (51 min)</a>

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</td><td><a href='http://youtu.be/B_4DZ5UNiCo'><img src='http://img.youtube.com/vi/B_4DZ5UNiCo/default.jpg'></a>

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</td><td><a href='http://youtu.be/Sq5USrBOt-E'>Presentation (55 min)</a>

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</td><td><a href='http://youtu.be/Sq5USrBOt-E'><img src='http://img.youtube.com/vi/Sq5USrBOt-E/default.jpg'></a>

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</td><td><a href='http://youtu.be/20n_KtEy6Y4'>Presentation (40 min)</a>

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</td><td><a href='http://youtu.be/20n_KtEy6Y4'><img src='http://img.youtube.com/vi/20n_KtEy6Y4/default.jpg'></a>

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</td><td><a href='http://youtu.be/Dbk69Rh_ovY'>Presentation (35 min)</a>

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</td><td><a href='http://youtu.be/Dbk69Rh_ovY'><img src='http://img.youtube.com/vi/Dbk69Rh_ovY/default.jpg'></a>

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</td><td><a href='http://youtu.be/_7rHP9-mPj0'>Presentation (55 min)</a>

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</td><td><a href='http://youtu.be/_7rHP9-mPj0'><img src='http://img.youtube.com/vi/_7rHP9-mPj0/default.jpg'></a>

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</td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect hydraulic fracturing performance in the presence of different operational parameters.

to:

</td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations.

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</td><td><a href='http://youtu.be/bDa5isKRS-4'>Presentation (43 min)</a>

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</td><td><a href='http://youtu.be/bDa5isKRS-4'><img src='http://img.youtube.com/vi/bDa5isKRS-4/default.jpg'></a>

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</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (57 min)</a>

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</td><td><a href='http://youtu.be/zMu1bSOlOAA'><img src='http://img.youtube.com/vi/zMu1bSOlOAA/default.jpg'></a>

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</td><td><a href='http://youtu.be/wQ0SsfzGo6I'>Presentation (34 min)</a>

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</td><td><a href='http://youtu.be/wQ0SsfzGo6I'><img src='http://img.youtube.com/vi/wQ0SsfzGo6I/default.jpg'></a>

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</td><td><a href='http://youtu.be/M_5OIOZcoBc'>Presentation #1 (28 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'>Presentation #2 (14 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>

to:

</td><td><a href='http://youtu.be/M_5OIOZcoBc'><img src='http://img.youtube.com/vi/M_5OIOZcoBc/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'><img src='http://img.youtube.com/vi/yNeTF8_XSyw/default.jpg'></a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>

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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation (34 min)</a>

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</td><td><a href='http://youtu.be/dfgzaVd8gLg'><img src='http://img.youtube.com/vi/dfgzaVd8gLg/default.jpg'></a>

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</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.

to:

</td><td>Even though there has been a significant increase in the use of MIP models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP).

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<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1<br>(2.5 min)</a> <br><br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2<br>(3 min)</a> <br><br><a href='http://youtu.be/5DuNvTWg62Q'>Presentation (30 min)</a>

to:

<br><a href='http://youtu.be/wS8ru1IcVBs'><img src='http://img.youtube.com/vi/wS8ru1IcVBs/default.jpg'></a> <br><br><a href='http://youtu.be/OG2TAYiHz6s'><img src='http://img.youtube.com/vi/OG2TAYiHz6s/default.jpg'></a> <br><br><a href='http://youtu.be/5DuNvTWg62Q'><img src='http://img.youtube.com/vi/5DuNvTWg62Q/default.jpg'></a>

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</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction (2.5 min)</a> <br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation (59 min)</a>

to:

</td><td><a href='http://youtu.be/N9hXqzkH7YA'><img src='http://img.youtube.com/vi/N9hXqzkH7YA/default.jpg'></a> <br><br><a href='http://youtu.be/cfku_J4Ectk'><img src='http://img.youtube.com/vi/cfku_J4Ectk/default.jpg'></a>

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</td><td><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>

to:

</td><td><a href='http://youtu.be/j2w66_yC7Jk'><img src='http://img.youtube.com/vi/j2w66_yC7Jk/default.jpg'></a> <br><br><a href='http://youtu.be/toJHFdG4N2A'><img src='http://img.youtube.com/vi/toJHFdG4N2A/default.jpg'></a>

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</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'>Webinar Video</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'><img src='http://img.youtube.com/vi/1hnBFU-rFBY/default.jpg'></a>

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</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.

to:

</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.

November 19, 2013, at 09:48 PM by 69.169.137.17 -
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</td><td><a href='http://www.youtube.com/watch?v=86W71ocI8Ww&feature=share&list=UU2GuY-AxnNxIJFAVfEW0QFA'>Presentation (59 min)</a>

to:

</td><td><a href='http://youtu.be/86W71ocI8Ww'><img src='http://img.youtube.com/vi/86W71ocI8Ww/default.jpg'></a>

November 19, 2013, at 09:44 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>

to:

</td><td><a href='http://youtu.be/vSSR3qvX_os'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>

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</td><td><a href='http://youtu.be/1E7uDNAWp5U'>Presentation (45 min)</a>

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</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/1E7uDNAWp5U/default.jpg'></a>

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</td><td><a href='http://youtu.be/SpK-fhpI-Ic'>Presentation (42 min)</a>

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</td><td><a href='http://youtu.be/SpK-fhpI-Ic'><img src='http://img.youtube.com/vi/SpK-fhpI-Ic/default.jpg'></a>

November 19, 2013, at 09:42 PM by 69.169.137.17 -
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</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img href='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>

to:

</td><td><a href='http://youtu.be/1E7uDNAWp5U'><img src='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a>

November 19, 2013, at 09:42 PM by 69.169.137.17 -
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</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MB8BYLEHUE7W9NPTI2YFXTMF5Y-18BV'>Multicomponent Prediction Methods</a> </td><td nowrap>Nov 19, 2013

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a> </td><td nowrap>Dec 3, 2013

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</td><td>Jacob Reynolds </td><td>Washington River Protection Solutions

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a> </td><td nowrap>Dec 3, 2013 </td><td nowrap>9 AM MST

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</td></tr><tr><td>Multicomponent Prediction Methods for Hanford Nuclear Waste </td><td><a href='http://youtu.be/1E7uDNAWp5U'><img href='http://img.youtube.com/vi/vSSR3qvX_os/default.jpg'></a> </td><td nowrap>Nov 19, 2013 </td><td>Jacob Reynolds </td><td>Washington River Protection Solutions

November 18, 2013, at 08:13 AM by 69.169.137.17 -
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</td></tr><tr><td>Stochastic Optimal Control for Gas Networks

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M601J50Q2N45WNOSSBU03LJSIB-18BV'>Stochastic Optimal Control for Gas Networks</a>

November 18, 2013, at 08:10 AM by 69.169.137.17 -
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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=M31LFRF7ZY64F6TPZ0WYELKQV1-18BV'>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning</a>

November 18, 2013, at 07:23 AM by 69.169.137.17 -
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  • Join Current WebEx Session
    • Visit http://byu.webex.com
    • Password: apm2013
    • See YouTube Playlist for recordings
to:
  • Select Presentation Title to Join Current WebEx Session
  • Visit YouTube Playlist for recordings
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</td></tr><tr><td>Multicomponent Prediction Methods

to:

</td></tr><tr><td><a href='https://meetings.webex.com/collabs/meetings/join?uuid=MB8BYLEHUE7W9NPTI2YFXTMF5Y-18BV'>Multicomponent Prediction Methods</a>

November 14, 2013, at 02:50 PM by 128.187.97.20 -
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</td><td>Dow Chemical

to:

</td><td>University of Texas at Austin

November 14, 2013, at 02:49 PM by 128.187.97.20 -
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</td><td>Dow Chemical

</td></tr><tr><td>Reduced Order Modeling of Residential Buildings from Smart Meter Data </td><td nowrap>Apr 15, 2014 </td><td nowrap>9 AM MDT </td><td nowrap>Krystian Perez

November 13, 2013, at 02:36 PM by 128.187.97.20 -
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</td></tr><tr><td>A Dynamic Optimization Framework with Economic MPC for Energy Capacity Planning </td><td nowrap>Dec 3, 2013 </td><td nowrap>9 AM MST </td><td>Jose Mojica </td><td>Brigham Young University

November 12, 2013, at 11:59 PM by 69.169.137.17 -
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</td><td>Nov 19, 2013

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</td><td nowrap>Nov 19, 2013

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</td><td>Jan 21, 2013

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</td><td nowrap>Jan 21, 2013

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</td><td>Jan 28, 2014

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</td><td nowrap>Jan 28, 2014

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</td><td>Mar 25, 2014

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</td><td nowrap>Mar 25, 2014

November 12, 2013, at 09:59 PM by 69.169.137.17 -
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</td></tr><tr><td>UAVs for Infrastructure <br>Monitoring </td><td>Dec 5, 2013 </td><td nowrap>4 PM MST </td><td>Kevin Franke </td><td>BYU Civil Engineering

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</td><td>January 28, 2014

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</td><td>Jan 28, 2014

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</td><td>February 11, 2014

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</td><td>Feb 11, 2014

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</td><td>February 18, 2014

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</td><td>February 25, 2014

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</td><td>Feb 25, 2014

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</td><td>March 4, 2014

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</td><td>Mar 4, 2014

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</td><td>March 18, 2014

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</td></tr><tr><td>Stochastic Optimal Control for Gas Networks </td><td>Jan 21, 2013 </td><td nowrap>9 AM MST </td><td>Victor Zavala </td><td>Argonne National Laboratory

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</td><td>Hokkaido University, Japan

to:

</td><td>Hokkaido University, Japan (<a href='http://www.midaco-solver.com'>MIDACO</a>)

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</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a> </td><td>Oct 31, 2013 </td><td nowrap>4 PM MDT </td><td>Wesley Cole </td><td>The University of Texas at Austin

</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems </td><td>Nov 7, 2013 </td><td nowrap>4 PM MST </td><td>David Brower </td><td>Astro Technology, Inc.

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</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems </td><td><a href='/wiki/uploads/Main/apm_advanced_deepwater_monitoring_7Nov13.pdf'>Presentation</a> </td><td>Nov 7, 2013 </td><td>David Brower </td><td>Astro Technology, Inc.

</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a> </td><td><a href='http://youtu.be/1E7uDNAWp5U'>Presentation (45 min)</a> </td><td>Oct 31, 2013 </td><td>Wesley Cole </td><td>The University of Texas at Austin

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</td></tr><tr><td>Global Optimization of MINLP by Evolutionary Algorithms </td><td>February 25, 2014 </td><td nowrap>3 PM MST </td><td>Martin Schlueter </td><td>Hokkaido University, Japan

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(:htmlend:)

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  • Contact support@apmonitor.com for assistance
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</td></tr><tr><td>Improved Grid Management through Predictive Residential Air Conditioning Control

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</td></tr><tr><td><a href='/wiki/uploads/Main/2013_Wesley_Cole.pdf'>Improved Grid Management through Predictive Residential Air Conditioning Control</a>

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</td><td>Robert Fourer

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</td></tr><tr><td>Supply Chain Optimization in Dow Chemical </td><td>March 25, 2014 </td><td nowrap>9 AM MDT </td><td>Anshul Agarwal<br>John Wassick </td><td>Dow Chemical

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To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported. Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

5 Steps to Start a Technical Presentation

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To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported. Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

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<iframe width="560" height="315" src="http://www.youtube.com/embed/lWBr7ploeNM" frameborder="0" allowfullscreen></iframe>

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(:keywords nonlinear, model, predictive control, APMonitor, differential, algebraic, modeling language:) (:description Simulation, optimization, estimation, and control with APMonitor:)

Webinars are held about every two-weeks. These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.

to:

(:keywords webinar, modeling, optimization, technical:) (:description Browse sessions for the Symposium on Modeling and Optimization, an online forum for sharing the latest applications and technological developments in process systems engineering.:)

Webinars consist of applications and tutorials in mathematical modeling, estimation, and optimization. The sessions are hosted with WebEx with interactive chat, video conferencing, and remote computer desktop sharing. Each of the sessions is recorded and later posted online.

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</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors </td><td>Oct 22, 2013 </td><td nowrap>10 AM MDT </td><td nowrap>Richard Pattison<br>Michael Baldea </td><td>The University of Texas at Austin

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</td><td>Oct 29, 2013 </td><td nowrap>9 AM MDT

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</td><td>Oct 31, 2013 </td><td nowrap>4 PM MDT

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</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors </td><td><a href='http://youtu.be/SpK-fhpI-Ic'>Presentation (42 min)</a> </td><td>Oct 22, 2013 </td><td nowrap>Richard Pattison<br>Michael Baldea </td><td>The University of Texas at Austin

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</td><td nowrap>Michael Baldea

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</td><td nowrap>Richard Pattison<br>Michael Baldea

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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization </td><td>Oct 15, 2013 </td><td nowrap>9 AM MDT </td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart </td><td>Oklahoma State University

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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization </td><td><a href='http://www.youtube.com/watch?v=86W71ocI8Ww&feature=share&list=UU2GuY-AxnNxIJFAVfEW0QFA'>Presentation (59 min)</a> </td><td>Oct 15, 2013 </td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart </td><td>Oklahoma State University

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</td></tr><tr><td>Parallel Optimization </td><td>March 4, 2014

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</td></tr><tr><td>Industrial Flowsheet Optimization and Estimation using IMPL (Industrial Modeling & Programming Language) </td><td>February 18, 2014

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</td><td>Jeff Kelly </td><td>Industrial Algorithms

</td></tr><tr><td>Parallel Optimization </td><td>March 4, 2014 </td><td nowrap>9 AM MST

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</td></tr><tr><td>Progress and Challenges in Equation Oriented Dynamic Modeling </td><td>March 18, 2014 </td><td nowrap>9 AM MST </td><td>Jeff Renfro </td><td>Honeywell Process Solutions

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</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation </td><td>Oct 8, 2013

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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization </td><td>Oct 15, 2013

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</td><td nowrap>Bhushan Gopaluni </td><td>University of British Columbia, Vancouver

</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization </td><td>Oct 15, 2013 </td><td nowrap>9 AM MDT

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</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation </td><td><a href='http://youtu.be/xq3ku8drlXA'>Presentation (62 min)</a> </td><td>Oct 8, 2013 </td><td nowrap>Bhushan Gopaluni </td><td>University of British Columbia, Vancouver

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</td></tr><tr><td>New Interface Developments <br>with the AMPL Modeling Language & System </td><td>January 28, 2014 </td><td nowrap>9 AM MST </td><td>Robert Fourer </td><td>Northwestern University

October 08, 2013, at 09:28 PM by 69.169.187.122 -
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  • See http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP for recordings
to:
  • See YouTube Playlist for recordings
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  • See APMonitorCom YouTube Channel for recordings
to:
  • See http://www.youtube.com/playlist?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP for recordings
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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation

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</td></tr><tr><td>Tutorial on Bayesian Approaches for State and Parameter Estimation

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a> </td><td>Oct 3, 2013

to:

</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Oct 8, 2013

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</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes </td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK

</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Oct 8, 2013 </td><td nowrap>9 AM MDT

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a> </td><td><a href='http://youtu.be/HAhXf9RBmhI'>Panel Discussion (61 min)</a> </td><td>Oct 3, 2013 </td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes </td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK

October 02, 2013, at 06:41 AM by 69.169.188.188 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><br><a href="/wiki/uploads/Main/olefin_speakers.pdf">Speaker Introduction</a><br><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a>

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a><br><a href="/wiki/uploads/Main/olefin_presentation.pdf">Discussion Topics</a>

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</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress

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</td></tr><tr><td>Future Polygeneration Systems

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</td><td>

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</td><td>This presentation details environmental and economic progress on co-generation or multi-generation systems with SOFCs, nuclear, coal, natural gas power generation.

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</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress </td><td>Sept 24, 2013 </td><td nowrap>10 AM MDT </td><td nowrap>Thomas Adams, II </td><td>McMaster University

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</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress </td><td><a href='http://youtu.be/B_4DZ5UNiCo'>Presentation (51 min)</a> </td><td>Sept 24, 2013 </td><td nowrap>Thomas Adams, II </td><td>

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</td></tr><tr><td>Tuning the Static and Dynamic Performance of Microchannel Reactors </td><td>Oct 22, 2013 </td><td nowrap>9 AM MDT </td><td nowrap>Michael Baldea </td><td>The University of Texas at Austin

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</td></tr><tr><td>Research and Careers in <br>Reservoir Engineering </td><td>Sept 10, 2013 </td><td nowrap>3 PM MDT </td><td nowrap>Hugh Hales </td><td>Brigham Young University

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</td></tr><tr><td>Research and Careers in Reservoir Engineering </td><td><a href='http://youtu.be/Sq5USrBOt-E'>Presentation (55 min)</a> </td><td>Sept 10, 2013 </td><td nowrap>Hugh Hales, BYU </td><td>Hugh Hales shares thoughts on careers, leadership, and reservoir engineering research.

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</td></tr><tr><td>BYU Research and Careers in <br>Reservoir Engineering

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</td></tr><tr><td>Research and Careers in <br>Reservoir Engineering

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</td></tr><tr><td>Parallel Optimization

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</td></tr><tr><td>Future Polygeneration Systems: <br>Environmental and Economic Progress

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges<br> for Olefins Production</a>

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization.pdf">Prospects and Challenges<br> for Olefins Production</a>

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</td></tr><tr><td>BYU Research and Careers in <br>Reservoir Engineering </td><td>Sept 10, 2013 </td><td nowrap>3 PM MDT </td><td nowrap>Hugh Hales </td><td>Brigham Young University

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</td></tr><tr><td>Feedback Control of <br>Stochastic Self-Assembly </td><td>February 11, 2014 </td><td nowrap>9 AM MDT </td><td>Martha Grover </td><td>Georgia Tech

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</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow

to:

</td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK

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<iframe width="640" height="360" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>

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<br> <iframe width="560" height="315" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe> <br>

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(:html:) <iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe> (:htmlend:)

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<iframe width="640" height="360" src="//www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDjhBUNyTPIYCJsH4CAkpKzP" frameborder="0" allowfullscreen></iframe>

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(:htmdend:)

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(:htmlend:)

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(:html:) <iframe width="560" height="315" src="http://www.youtube.com/embed/LQ_hNDB9Z2s?list=PLLBUgWXdTBDgOlvGgbBDvHXdleSgEi9aj" frameborder="0" allowfullscreen></iframe> (:htmdend:)

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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Sept 10, 2013

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</td></tr><tr><td>TBD </td><td>Sept 24, 2013

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</td><td nowrap>Bhushan Gopaluni </td><td>University of British Columbia, Vancouver

</td></tr><tr><td>TBD </td><td>Sept 24, 2013 </td><td nowrap>9 AM MDT

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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Oct 8, 2013 </td><td nowrap>9 AM MDT </td><td nowrap>Bhushan Gopaluni </td><td>University of British Columbia, Vancouver

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</td></tr><tr><td>TBD </td><td>March 4, 2014 </td><td nowrap>9 AM MDT </td><td>Carl Laird </td><td>Texas A&M

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</td><td>TBD

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</td><td>Oct 15, 2013

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</td></tr><tr><td>Leap Frog Applications in APC and Plant Optimization

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</td></tr><tr><td>Leapfrog Applications in APC and Plant Optimization

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</td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td><td nowrap>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart

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</td></tr><tr><td>Leap Frog Applications in APC and Plant Optimization </td><td>TBD </td><td nowrap>9 AM MDT </td><td>Anand Govindarajan<br>Upasana Manimegalai-Sridhar<br>R. Russell Rhinehart </td><td>Oklahoma State University

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</td></tr><tr><td>Improved Grid Management through Predictive Residential Air Conditioning Control </td><td>Oct 29, 2013 </td><td nowrap>9 AM MST </td><td>Wesley Cole </td><td>The University of Texas at Austin

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</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft

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</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes

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</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure </td><td>Aug 26, 2013

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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Sept 10, 2013

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</td><td nowrap>Reza Asgharzadeh Shishivan </td><td>Brigham Young University

</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation </td><td>Sept 10, 2013 </td><td nowrap>9 AM MDT

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</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure </td><td><a href='http://youtu.be/20n_KtEy6Y4'>Presentation (40 min)</a> </td><td>Aug 26, 2013 </td><td>Reza Asgharzadeh Shishivan, BYU </td><td>PhD prospectus defense on monitoring and control of energy systems, particularly with oil and gas drilling and production systems

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</td></tr><tr><td>Monitoring, Control, and Optimization of Energy Infrastructure </td><td>Aug 26, 2013 </td><td nowrap>9 AM MDT </td><td nowrap>Reza Asgharzadeh Shishivan </td><td>Brigham Young University

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</td></tr><tr><td>Multicomponent Prediction Methods </td><td>Nov 19, 2013 </td><td nowrap>9 AM MST </td><td>Jacob Reynolds </td><td>Washington River Protection Solutions

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</td></tr><tr><td>TBD </td><td>Sept 24, 2013 </td><td nowrap>9 AM MDT </td><td nowrap>Thomas Adams, II </td><td>McMaster University

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</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a> </td><td>July 2, 2013 </td><td nowrap>10 AM MDT </td><td>Lee Jacobsen </td><td>See <a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">LinkedIn Profile</a>

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</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a> </td><td><a href='http://youtu.be/Dbk69Rh_ovY'>Presentation (35 min)</a> </td><td>July 2, 2013 </td><td><a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">Lee Jacobsen</a> </td><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Improving Solid Oxide Fuel Cell performance through dynamic optimization.</a>

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</td></tr><tr><td>Tutorial on Estimation Methods for State and Parameter Estimation

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</td></tr><tr><td>Tutorial on Methods for State and Parameter Estimation

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</td></tr><tr><td>Tutorial on Estimation Methods <br>for State and Parameter Estimation

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</td></tr><tr><td>Tutorial on Estimation Methods for State and Parameter Estimation

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</td><td>Bhushan Gopaluni

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</td><td nowrap>Bhushan Gopaluni

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</td></tr><tr><td>Tutorial on Estimation Methods <br>for State and Parameter Estimation </td><td>Sept 10, 2013 </td><td nowrap>9 AM MDT </td><td>Bhushan Gopaluni </td><td>University of British Columbia, Vancouver

June 25, 2013, at 01:53 PM by 69.169.188.188 -
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</td></tr><tr><td>UAVs for Infrastructure Monitoring

to:

</td></tr><tr><td>UAVs for Infrastructure <br>Monitoring

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</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges for Olefins Production</a>

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges<br> for Olefins Production</a>

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</td></tr><tr><td>Advanced Deep Water Monitoring Systems

to:

</td></tr><tr><td>Advanced Deep Water <br>Monitoring Systems

June 25, 2013, at 10:29 AM by 69.169.188.188 -
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</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of a Solid Oxide Fuel Cell</a>

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of <br>a Solid Oxide Fuel Cell</a>

June 25, 2013, at 10:28 AM by 69.169.188.188 -
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</td></tr><tr><td>Nonlinear MPC of a Solid Oxide Fuel Cell

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/2013_SOFC_Jacobsen_webinar.pdf">Dynamic Optimization of a Solid Oxide Fuel Cell</a>

June 25, 2013, at 10:27 AM by 69.169.188.188 -
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</td><td nowrap>12 PM MDT

to:

</td><td nowrap>10 AM MDT

June 25, 2013, at 10:24 AM by 69.169.188.188 -
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</td><td>BYU / ExxonMobil Chemical

to:

</td><td>See <a href="http://www.linkedin.com/pub/lee-jacobsen/44/b92/148">LinkedIn Profile</a>

June 25, 2013, at 08:53 AM by 69.169.188.188 -
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</td></tr><tr><td>Process Control in the Upstream Industry </td><td>TBD </td><td nowrap>4 PM MDT </td><td>Michael Nikolaou </td><td>University of Houston

June 18, 2013, at 04:00 PM by 128.187.97.18 -
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</td></tr><tr><td>Nonlinear MPC of a Solid Oxide Fuel Cell </td><td>July 2, 2013 </td><td nowrap>12 PM MDT </td><td>Lee Jacobsen </td><td>BYU / ExxonMobil Chemical

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</td><td>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft </td><td>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow

to:

</td><td nowrap>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft </td><td nowrap>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow

June 18, 2013, at 03:47 PM by 128.187.97.18 -
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</td></tr><tr><td>New Opportunities in Olefins Production

to:

</td></tr><tr><td><a href="/wiki/uploads/Main/olefin_optimization_webinar.pdf">Prospects and Challenges for Olefins Production</a>

June 18, 2013, at 03:43 PM by 128.187.97.18 -
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</td></tr><tr><td>New Challenges and Opportunities in the Optimization of Olefins Production

to:

</td></tr><tr><td>New Opportunities in Olefins Production

June 18, 2013, at 03:42 PM by 128.187.97.18 -
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</td></tr><tr><td>Optimization of Olefins Production

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</td></tr><tr><td>New Challenges and Opportunities in the Optimization of Olefins Production

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</td><td>CMiD Solutions

to:

</td><td>CMiD Solutions<br>APEX Optimization<br>Chevron Phillips<br>SABIC UK<br>Dow

June 18, 2013, at 03:33 PM by 128.187.97.18 -
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</td><td>Mark Darby

to:

</td><td>Mark Darby<br>Doug Nicholson<br>Judson Wooters<br>Richard Hughes<br>Brian Ashcraft

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</td></tr><tr><td>Advanced Deep Water Monitoring Systems </td><td>Nov 7, 2013 </td><td nowrap>4 PM MST </td><td>David Brower </td><td>Astro Technology, Inc.

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</td><td>Oct 31, 2013

to:

</td><td>Dec 5, 2013

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</td></tr><tr><td>Advanced Deep Water Monitoring Systems </td><td>Nov 7, 2013 </td><td nowrap>4 PM MST </td><td>David Brower </td><td>Astro Technology, Inc.

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</td><td nowrap>4 PM MDT

to:

</td><td nowrap>9 AM MDT

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</td><td>Oct 17, 2013

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</td><td>Oct 3, 2013

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</td></tr><tr><td>UAVs for Infrastructure Monitoring </td><td>Sept 19, 2013

to:

</td></tr><tr><td>Optimization of Olefins Production </td><td>Oct 17, 2013

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</td><td>Kevin Franke </td><td>BYU Civil Engineering

</td></tr><tr><td>Optimization of Olefins Production </td><td>Oct 10, 2013 </td><td nowrap>4 PM MDT

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</td></tr><tr><td>UAVs for Infrastructure Monitoring </td><td>Oct 31, 2013 </td><td nowrap>4 PM MDT </td><td>Kevin Franke </td><td>BYU Civil Engineering

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</td><td>Sept 12, 2013

to:

</td><td>Sept 19, 2013

May 21, 2013, at 03:18 PM by 128.187.97.23 -
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</td><td nowrap>4 PM MST

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</td></tr><tr><td>Advanced Deep Water Monitoring Systems </td><td>Sept 26, 2013

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</td></tr><tr><td>Optimization of Olefins Production </td><td>Oct 10, 2013

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</td><td>David Brower </td><td>Astro Technology, Inc.

</td></tr><tr><td>Optimization of Olefins Production </td><td>Oct 10, 2013 </td><td nowrap>4 PM MDT

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</td><td>Oct 24, 2013

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</td><td>TBD

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</td></tr><tr><td>Advanced Deep Water Monitoring Systems </td><td>Nov 7, 2013 </td><td nowrap>4 PM MDT </td><td>David Brower </td><td>Astro Technology, Inc.

May 09, 2013, at 10:38 AM by 128.187.97.23 -
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</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_fsw_15Nov11.pdf'>Presentation</a>

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</td><td>Presentation

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</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>

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</td><td><b>Description</b>

</td></tr><tr><td>Adaptive Model Reduction </td><td>Jan 29, 2013 </td><td nowrap>9 AM MST </td><td>Sivakumar Pitchaiah </td><td>The seminar will cover the concepts and applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs).

to:

</td><td><b>Affiliation</b>

</td></tr><tr><td>UAVs for Infrastructure Monitoring </td><td>Sept 12, 2013 </td><td nowrap>4 PM MDT </td><td>Kevin Franke </td><td>BYU Civil Engineering

</td></tr><tr><td>Advanced Deep Water Monitoring Systems </td><td>Sept 26, 2013 </td><td nowrap>4 PM MDT </td><td>David Brower </td><td>Astro Technology, Inc.

</td></tr><tr><td>Optimization of Olefins Production </td><td>Oct 10, 2013 </td><td nowrap>4 PM MDT </td><td>Mark Darby </td><td>CMiD Solutions

</td></tr><tr><td>Process Control in the Upstream Industry </td><td>Oct 24, 2013 </td><td nowrap>4 PM MDT </td><td>Michael Nikolaou </td><td>University of Houston

Changed line 84 from:

To participate in an upcoming presentation, click the link to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported. Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

to:

To participate in an upcoming presentation, click the link above to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported. Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

January 18, 2013, at 11:40 PM by 69.169.188.188 -
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</td></tr><tr><td>Stimulation Optimization of Unconventional Resources </td><td>Jan 18, 2013 </td><td nowrap>1 PM MST<br>2 PM CST </td><td>Marisela Sanchez-Nagel </td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect hydraulic fracturing performance in the presence of different operational parameters.

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</td></tr><tr><td>Stimulation Optimization of Unconventional Resources </td><td><a href='http://youtu.be/_7rHP9-mPj0'>Presentation (55 min)</a> </td><td>Jan 18, 2013 </td><td>Marisela Sanchez-Nagel </td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect hydraulic fracturing performance in the presence of different operational parameters.

January 11, 2013, at 11:56 AM by 69.169.188.188 -
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</td><td><b>Registration</b>

to:

</td><td><b>Presentation</b>

January 11, 2013, at 11:55 AM by 69.169.188.188 -
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  • See APMonitorCom YouTube Channel for recorded webinars
to:
  • See APMonitorCom YouTube Channel for recordings
January 11, 2013, at 11:54 AM by 69.169.188.188 -
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Webinar Series on Modeling and Optimization

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to:
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(:cell:)

January 11, 2013, at 11:52 AM by 69.169.188.188 -
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Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.

to:

Webinars are held about every two-weeks. These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.

January 11, 2013, at 11:51 AM by 69.169.188.188 -
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  • See APMonitorCom YouTube Channel for recorded webinars
January 11, 2013, at 11:47 AM by 69.169.188.188 -
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  • Contact support@apmonitor.com for video conferencing assistance
to:
  • Contact support@apmonitor.com for assistance
January 11, 2013, at 11:47 AM by 69.169.188.188 -
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  • E-mail support [at] apmonitor.com for video conferencing assistance
to:
  • Contact support@apmonitor.com for video conferencing assistance
January 11, 2013, at 11:46 AM by 69.169.188.188 -
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  • Password: apm2012
to:
  • Password: apm2013
January 11, 2013, at 11:45 AM by 69.169.188.188 -
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(:table border=0 width=100%:) (:cell:)

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(:cell:)

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(:tableend:)

January 11, 2013, at 11:44 AM by 69.169.188.188 -
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  • For support send e-mail to support [at] apmonitor.com
to:
  • E-mail support [at] apmonitor.com for video conferencing assistance
January 11, 2013, at 11:43 AM by 69.169.188.188 -
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  • Join Current WebEx Session
    • Password: apm2012
    • For support send e-mail to support [at] apmonitor.com
Deleted line 47:

</td><td><b>Registration</b>

Deleted line 53:

</td><td><a href='https://byu.webex.com/byu/j.php?J=628046528&PW=NOTM5Y2Q5ZjY2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>

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</td><td>Webinar

January 10, 2013, at 05:09 PM by 128.187.97.21 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?J=628046528&PW=NOTM5Y2Q5ZjY2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>

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</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>

to:

</td><td>Webinar

January 10, 2013, at 04:58 PM by 128.187.97.21 -
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</td></tr><tr><td>Stimulation Optimization of Unconventional Resources </td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a> </td><td>Jan 18, 2013 </td><td nowrap>1 PM MST<br>2 PM CST </td><td>Marisela Sanchez-Nagel </td><td>Improved Numerical Modeling from First Physics Emerging numerical techniques are available that can address hydraulic fracturing in naturally fractured formations, such as shale gas, and that are based upon the proper first physics of the mechanical and flow behavior of fractured formations. These techniques will allow the industry to gain greater insight and understanding of how natural fracture geometry and intensity, fracture hydromechanical properties, and stress field affect hydraulic fracturing performance in the presence of different operational parameters.

January 07, 2013, at 08:10 PM by 69.169.188.188 -
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</td></tr><tr><td>TBD

to:

</td></tr><tr><td>Adaptive Model Reduction

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</td><td>Jan 15, 2012 </td><td nowrap>9 AM MST </td><td>Jeff Kantor, Univ of Notre Dame </td><td>

</td></tr><tr><td>Adaptive Model Reduction </td><td>Webinar

November 29, 2012, at 07:27 PM by 69.169.188.188 -
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</td></tr><tr><td>Gene Expression

to:

</td></tr><tr><td>TBD

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</td><td>Dec 6, 2012 </td><td nowrap>4 PM MST </td><td>Eric Haseltine, Vertex Pharmaceuticals </td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.

</td></tr><tr><td>TBD </td><td>Webinar

November 14, 2012, at 08:47 AM by 128.187.97.21 -
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</td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (43 min)</a>

to:

</td><td><a href='http://youtu.be/bDa5isKRS-4'>Presentation (43 min)</a>

November 13, 2012, at 04:18 PM by 128.187.97.21 -
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</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.

to:

</td><td>The seminar will cover the concepts and applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs).

November 13, 2012, at 04:16 PM by 128.187.97.21 -
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</td><td>Sivakumar Pitchaiah, MEMC Electronic Materials </td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.<br>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.

to:

</td><td>Sivakumar Pitchaiah </td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.

November 13, 2012, at 04:16 PM by 128.187.97.21 -
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</td><td>Dec 11, 2012

to:

</td><td>Jan 15, 2012

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</td><td>Jeff Kantor, Univ of Notre Dame </td><td>

</td></tr><tr><td>Adaptive Model Reduction </td><td>Webinar </td><td>Jan 29, 2013 </td><td nowrap>9 AM MST

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</td><td>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.

</td></tr><tr><td>TBD </td><td>Webinar </td><td>Jan 15, 2012 </td><td nowrap>9 AM MST </td><td>Jeff Kantor, Univ of Notre Dame </td><td>

to:

</td><td>Applications of adaptive model reduction in control of distributed processes (processes modeled by PDEs). We will explore the concept of adaptive model reduction, the applications, and advantages.<br>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.

November 13, 2012, at 12:25 PM by 128.187.97.21 -
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</td></tr><tr><td>Efficient Surrogate Model Generation

to:

</td></tr><tr><td>Gene Expression

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</td><td>Nov 13, 2012 </td><td nowrap>9AM MST </td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa </td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.

</td></tr><tr><td>Gene Expression </td><td>Webinar

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</td></tr><tr><td>Efficient Surrogate Model Generation </td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (43 min)</a> </td><td>Nov 13, 2012 </td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa </td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.

November 08, 2012, at 09:09 AM by 128.187.97.21 -
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</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for optimization. This talk discusses three possible algorithms for efficient surrogate model building.

to:

</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for otherwise intractable problems. This talk discusses three possible algorithms for efficient surrogate model building.

November 08, 2012, at 09:08 AM by 128.187.97.21 -
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To participate in an upcoming presentation, click register and provide your name and e-mail address. Registration is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

to:

To participate in an upcoming presentation, click the link to join the WebEx session. There is no charge to join the webinar and Windows, Linux, iOS, and mobile platforms are supported. Users can participate via audio or video conference through a telephone or internet connection. Presentations are recorded and posted to YouTube as is the case with many of the past sessions shown below.

November 08, 2012, at 09:05 AM by 128.187.97.21 -
Changed line 53 from:

</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allows the use of traditional optimization algorithms for optimization of these systems. This talk discusses three possible algorithms for efficient surrogate model building.

to:

</td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization algorithms for optimization. This talk discusses three possible algorithms for efficient surrogate model building.

November 08, 2012, at 09:03 AM by 128.187.97.21 -
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</td></tr><tr><td>Fast NMPC and MHE tools </td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br>Password:<br> <b>apm2012</b></a> </td><td>Nov. 6, 2012 </td><td nowrap>9AM MST<br>5PM CET </td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

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</td></tr><tr><td>Fast NMPC and MHE tools </td><td><a href='http://youtu.be/zMu1bSOlOAA'>Presentation (57 min)</a> </td><td>Nov. 6, 2012 </td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

November 08, 2012, at 09:01 AM by 128.187.97.21 -
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</td><td>Webinar

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=216472567&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><br>Password:<br> <b>apm2012</b></a>

November 05, 2012, at 06:47 AM by 69.169.188.228 -
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</td><td nowrap>9AM MDT<br>5PM CET

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</td><td nowrap>9AM MST<br>5PM CET

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</td><td nowrap>9AM MDT

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</td><td nowrap>9AM MST

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</td><td nowrap>4 PM MDT

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</td><td nowrap>4 PM MST

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</td><td nowrap>9 AM MDT

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</td><td nowrap>9 AM MST

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</td><td nowrap>9 AM MDT

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</td><td nowrap>9 AM MST

November 04, 2012, at 09:17 PM by 69.169.188.228 -
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</td></tr><tr><td>TBD

to:

</td></tr><tr><td>Efficient Surrogate Model Generation

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</td><td>Selen Cremaschi<br>Univ of Tulsa </td><td>

to:

</td><td>John Eason and Selen Cremaschi<br>Univ of Tulsa </td><td>Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allows the use of traditional optimization algorithms for optimization of these systems. This talk discusses three possible algorithms for efficient surrogate model building.

November 03, 2012, at 09:41 PM by 69.169.188.228 -
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</td></tr><tr><td>TBD </td><td>Webinar </td><td>Jan 15, 2012 </td><td nowrap>9 AM MDT </td><td>Jeff Kantor, Univ of Notre Dame </td><td>

November 01, 2012, at 10:14 AM by 128.187.97.23 -
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</td></tr><tr><td>Proactive Energy Management Strategies for Buildings </td><td>Presentation (32 min) </td><td>Oct. 23, 2012 </td><td nowrap>9AM MDT </td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin </td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.

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</td></tr><tr><td>Proactive Energy Management Strategies for Buildings </td><td><a href='http://youtu.be/wQ0SsfzGo6I'>Presentation (34 min)</a> </td><td>Oct. 23, 2012 </td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin </td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.

October 23, 2012, at 01:28 PM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br>Password:<br> <b>apm2012</b></a>

October 23, 2012, at 01:28 PM by 128.187.97.23 -
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</td><td nowrap>Presentation (32 min)

to:

</td><td>Presentation (32 min)

October 23, 2012, at 01:27 PM by 128.187.97.23 -
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</td><td nowrap><a href='https://byu.webex.com/byu/j.php?ED=214195087&UID=0&PW=NNDA0NDljNDcw&RT=MiM2 '>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>

to:

</td><td nowrap>Presentation (32 min)

October 23, 2012, at 01:26 PM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912&UID=0&PW=NNDA0NDljNDcw&RT=MiM2'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>

October 23, 2012, at 01:26 PM by 128.187.97.23 -
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</td><td>Webinar

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=214937912'>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a>

October 16, 2012, at 09:25 AM by 98.172.86.19 -
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</td><td>Wesley Cole, UT Austin

to:

</td><td>Wesley Cole, UT Austin <br><br>Jeremy Castagno, BYU

October 16, 2012, at 08:31 AM by 98.172.86.19 -
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</td><td nowrap>9AM MST

to:

</td><td nowrap>9AM MDT

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</td><td nowrap>9AM MST<br>5PM CEST

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</td><td nowrap>9AM MDT<br>5PM CET

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</td><td nowrap>9AM MST

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</td><td nowrap>9AM MDT

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</td><td nowrap>4 PM

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</td><td nowrap>9 AM

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</td><td nowrap>9 AM MDT

October 16, 2012, at 08:28 AM by 98.172.86.19 -
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</td><td>

to:

</td><td>Webinar

October 16, 2012, at 08:28 AM by 98.172.86.19 -
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</td></tr><tr><td>Fast NMPC and MHE tools

to:

</td></tr><tr><td>TBD

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</td><td>Nov. 6, 2012 </td><td nowrap>9AM MST<br>5PM CEST </td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

</td></tr><tr><td>TBD </td><td>Webinar

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</td></tr><tr><td>Gene Expression </td><td>Webinar </td><td>Dec 6, 2012 </td><td nowrap>4 PM </td><td>Eric Haseltine, Vertex Pharmaceuticals </td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.

October 16, 2012, at 08:26 AM by 98.172.86.19 -
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</td></tr><tr><td>Gene Expression

to:

</td></tr><tr><td>Fast NMPC and MHE tools

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</td><td>Dec 6, 2012 </td><td nowrap>4 PM </td><td>Eric Haseltine, Vertex Pharmaceuticals </td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.

to:

</td><td>Nov. 6, 2012 </td><td nowrap>9AM MST<br>5PM CEST </td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

</td></tr><tr><td>TBD </td><td>Webinar </td><td>Nov 13, 2012 </td><td nowrap>9AM MST </td><td>Selen Cremaschi<br>Univ of Tulsa </td><td>

October 15, 2012, at 11:51 PM by 98.172.86.19 -
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</td><td>Cara R. Touretzky<br>Michael Baldea<br>UT Austin

to:

</td><td nowrap>Cara R. Touretzky<br>Michael Baldea<br>UT Austin

October 15, 2012, at 11:51 PM by 98.172.86.19 -
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</td></tr><tr><td>TBD </td><td><a href='https://byu.webex.com/byu/j.php?ED=211711962&RG=1&UID=0&RT=MiM2'>Join Webinar<br>Password <b>apm2012</b></a> </td><td>Oct. 16, 2012

to:

</td></tr><tr><td>Proactive Energy Management Strategies for Buildings </td><td nowrap><a href='https://byu.webex.com/byu/j.php?ED=214195087&UID=0&PW=NNDA0NDljNDcw&RT=MiM2 '>Join Webinar<br><u>Password</u><br> <b>apm2012</b></a> </td><td>Oct. 23, 2012

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</td><td>Michael Baldea, UT Austin </td><td>

</td></tr><tr><td>TBD </td><td> </td><td>Oct. 23, 2012 </td><td nowrap>9AM MST </td><td>Selen Cremaschi, Univ of Tulsa </td><td>

to:

</td><td>Cara R. Touretzky<br>Michael Baldea<br>UT Austin </td><td>Buildings are dynamic systems defined by fluctuations in weather, occupancy and energy prices. A nonlinear model-based optimal energy management strategy demonstrates significant energy savings compared to setpoint tracking strategies.

October 02, 2012, at 05:44 PM by 128.187.97.23 -
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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #1 (28 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><br><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #2 (14 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #1</a>

to:

</td><td><a href='http://youtu.be/M_5OIOZcoBc'>Presentation #1 (28 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><hr><br><a href='http://youtu.be/yNeTF8_XSyw'>Presentation #2 (14 min)</a><br><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #2</a>

October 02, 2012, at 05:42 PM by 128.187.97.23 -
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</td></tr><tr><td>Mixed Integer Nonlinear Programming

to:

</td></tr><tr><td>TBD

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</td><td>Oct. 2, 2012

to:

</td><td>Oct. 16, 2012

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</td><td>Wesley Cole, UT Austin </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

to:

</td><td>Michael Baldea, UT Austin </td><td>

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</td><td>Oct. 16, 2012

to:

</td><td>Oct. 23, 2012

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</td><td>Michael Baldea, UT Austin

to:

</td><td>Selen Cremaschi, Univ of Tulsa

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</td></tr><tr><td>TBD </td><td> </td><td>Oct. 23, 2012 </td><td nowrap>9AM MST </td><td>Selen Cremaschi, Univ of Tulsa </td><td>

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</td></tr><tr><td>Mixed Integer Nonlinear Programming </td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #1 (28 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_tes.pdf'>Slides #1</a><br><br><a href='http://youtu.be/dfgzaVd8gLg'>Presentation #2 (14 min)</a><br><a href='/wiki/uploads/Main/apm_minlp_mpc.pdf'>Slides #1</a> </td><td>Oct. 2, 2012 </td><td>Wesley Cole, UT Austin </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

September 18, 2012, at 02:44 PM by 128.187.97.23 -
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</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation Video</a>

to:

</td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation (34 min)</a>

September 18, 2012, at 02:43 PM by 128.187.97.23 -
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</td></tr><tr><td>Generalized Disjunctive Programming </td><td><a href='https://byu.webex.com/byu/j.php?ED=210359857&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>Sept. 18, 2012 </td><td nowrap>9AM MST </td><td>Juan Ruiz, Visual MESA </td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.

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</td><td>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=211711962&RG=1&UID=0&RT=MiM2'>Join Webinar<br>Password <b>apm2012</b></a>

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</td></tr><tr><td>Generalized Disjunctive Programming </td><td><a href='http://youtu.be/dfgzaVd8gLg'>Presentation Video</a> </td><td>Sept. 18, 2012 </td><td>Juan Ruiz, Visual MESA </td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.

September 04, 2012, at 02:03 PM by 128.187.97.23 -
Changed lines 144-145 from:

<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1 (2.5 min)</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2 (3 min)</a>

to:

<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1<br>(2.5 min)</a> <br><br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2<br>(3 min)</a>

September 04, 2012, at 02:02 PM by 128.187.97.23 -
Changed lines 144-145 from:

<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro 1 (2.5 min)</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro 2 (3 min)</a>

to:

<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1 (2.5 min)</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2 (3 min)</a>

September 04, 2012, at 02:01 PM by 128.187.97.23 -
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<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2</a>

to:

<br><a href='http://youtu.be/wS8ru1IcVBs'>Intro 1 (2.5 min)</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro 2 (3 min)</a>

September 04, 2012, at 02:00 PM by 128.187.97.23 -
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</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> <br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a> </td><td>Sept. 4, 2012

to:

</td></tr><tr><td>Generalized Disjunctive Programming </td><td><a href='https://byu.webex.com/byu/j.php?ED=210359857&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>Sept. 18, 2012

Deleted lines 51-57:

</td><td>Kody Powell, UT Austin </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.

</td></tr><tr><td>Generalized Disjunctive Programming </td><td> </td><td>Sept. 18, 2012 </td><td nowrap>9AM MST

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</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization </td><td> <br><a href='http://youtu.be/wS8ru1IcVBs'>Intro_1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Intro_2</a> <br><br><a href='http://youtu.be/5DuNvTWg62Q'>Presentation (30 min)</a> </td><td>Sept. 4, 2012 </td><td>Kody Powell, UT Austin </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.

September 04, 2012, at 10:42 AM by 128.187.97.23 -
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<br><br><a href='/wiki/uploads/Main/mars_rover_curiosity.pdf'>Slides</a>

September 02, 2012, at 09:20 AM by 69.169.188.228 -
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</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization

to:

</td></tr><tr><td>MPECs in Integrated Energy Storage, Forecasting, and Optimization

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</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

to:

</td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant requires the use of conditional arguments that change the system dynamics. New formulations of <a href='http://apmonitor.com/wiki/index.php/Apps/MpecExamples'>Mathematical Programs with Equilibrium Constraints (MPECs)</a> have improved convergence properties to enable more realistic dynamic simulations.

September 01, 2012, at 08:07 PM by 69.169.131.76 -
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</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction</a> <br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation</a>

to:

</td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction (2.5 min)</a> <br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation (59 min)</a>

September 01, 2012, at 08:06 PM by 69.169.131.76 -
Deleted lines 47-57:

</td></tr><tr><td>MHE for UAVs </td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a> <br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a> </td><td>Aug. 29, 2012 </td><td nowrap>7:30AM MST </td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

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</td></tr><tr><td>Mars Curiosity </td><td><a href='http://youtu.be/N9hXqzkH7YA'>Introduction</a> <br><br><a href='http://youtu.be/cfku_J4Ectk'>Presentation</a> </td><td>Aug. 30, 2012 </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

</td></tr><tr><td>MHE for UAVs </td><td><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a> </td><td>Aug. 29, 2012 </td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

August 28, 2012, at 12:43 PM by 128.187.97.23 -
Changed lines 57-74 from:

</td></tr><tr><td>MHE for UAVs </td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a> <br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a> </td><td>Aug. 29, 2012 </td><td nowrap>7:30AM MST </td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

to:

</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> <br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a> </td><td>Sept. 4, 2012 </td><td nowrap>9AM MST </td><td>Kody Powell, UT Austin </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

August 28, 2012, at 12:42 PM by 128.187.97.23 -
Changed lines 57-64 from:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> <br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a> </td><td>Sept. 4, 2012 </td><td nowrap>9AM MST </td><td>Kody Powell, UT Austin </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

to:

</td></tr><tr><td>MHE for UAVs </td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a> <br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a> </td><td>Aug. 29, 2012 </td><td nowrap>7:30AM MST </td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

</td></tr><tr><td>Mars Curiosity </td><td><a href='http://www.youtube.com/user/APMonitorCom/videos'>Live Event</a> <br><a href='http://youtu.be/N9hXqzkH7YA'>Video Intro</a> </td><td>Aug. 30, 2012 </td><td nowrap>1PM MST </td><td>Todd Barber, NASA JPL </td><td>The Curiosity robot is equipped with a nuclear-powered lab capable of vaporizing rocks and ingesting soil, measuring habitability, and potentially paving the way for human exploration. Todd will review interesting and unusual experiences in his career as a NASA engineer. He will present audio-visual highlights and recent findings of the Mars Rover Missions. (Spirit, Opportunity, and Curiosity).

August 28, 2012, at 12:33 PM by 128.187.97.23 -
Changed lines 49-51 from:

</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar - Password <b>optec2012</b></a> <br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar<br>Password <b>optec2012</b></a> <br><br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a>

August 28, 2012, at 12:32 PM by 128.187.97.23 -
Added lines 47-55:

</td></tr><tr><td>MHE for UAVs </td><td><a href='https://byu.webex.com/byu/j.php?J=622274527&PW=NODM4N2FlMmZi'>Live Webinar - Password <b>optec2012</b></a> <br><a href='http://youtu.be/j2w66_yC7Jk'>Introduction (3 min)</a> <br><a href='http://youtu.be/toJHFdG4N2A'>Presentation (28 min)</a> </td><td>Aug. 29, 2012 </td><td nowrap>7:30AM MST </td><td>Liang Sun, BYU </td><td>Moving Horizon Estimation (MHE) is used to update a mathematical model during real-time flight tests. Results from the flight tests demonstrate that large-scale models can be applied in real-time applications for estimation and control.

August 18, 2012, at 11:06 AM by 69.169.131.76 -
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</td><td>9AM MST<br>5PM CEST

to:

</td><td nowrap>9AM MST<br>5PM CEST

August 18, 2012, at 11:05 AM by 69.169.131.76 -
Changed line 88 from:

</td><td>9AM MST / 5 PM CEST

to:

</td><td>9AM MST<br>5PM CEST

August 18, 2012, at 11:04 AM by 69.169.131.76 -
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</td></tr><tr><td>Fast NMPC and MHE tools </td><td> </td><td>Nov. 6, 2012 </td><td>9AM MST / 5 PM CEST </td><td>Milan Vukov and Moritz Diehl, KU Leuven </td><td>Fast estimation and control techniques are critical for real-time applications. Researchers at KU Leuven will share cutting-edge methods to apply Nonlinear Model Predictive Control (NMPC) and Moving Horizon Estimation (MHE) for real-time applications.

August 15, 2012, at 09:55 AM by 69.169.188.228 -
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</td><td nowrap>4 PM MDT

to:

</td><td nowrap>4 PM

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</td></tr><tr><td>TBD </td><td>Webinar </td><td>Dec 11, 2012 </td><td nowrap>9 AM </td><td>Sivakumar Pitchaiah, MEMC Electronic Materials </td><td>MEMC is a global leader in semiconductor and solar technology. MEMC has been a pioneer in the design and development of silicon wafer technologies for over 50 years.

August 15, 2012, at 09:51 AM by 69.169.188.228 -
Added lines 84-90:

</td></tr><tr><td>Gene Expression </td><td>Webinar </td><td>Dec 6, 2012 </td><td nowrap>4 PM MDT </td><td>Eric Haseltine, Vertex Pharmaceuticals </td><td>Vertex Pharmaceuticals creates new possibilities in medicine to cure diseases and improve lives. Eric will discuss genome expression for therapeutic design.

August 07, 2012, at 01:41 PM by 128.187.97.23 -
Changed lines 57-58 from:

</td></tr><tr><td>TBD </td><td>

to:

</td></tr><tr><td>Generalized Disjunctive Programming </td><td>

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</td><td>

to:

</td><td>Mixed-Integer Programming (MIP) provides a framework for mathematically modeling many optimization problems that involve discrete and continuous variables. Even though there has been a significant increase in the use of these models, a question of how to develop the best model that will lead to the most efficient solution method remains to be answered. In this presentation we review the latest developments in Generalized Disjunctive Programming (GDP), a modeling framework that aims at tackling the above question.

August 01, 2012, at 05:15 PM by 69.169.131.76 -
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(:title Symposium on Advanced Modeling and Optimization:)

to:

(:title Symposium on Modeling and Optimization:)

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Webinars on Modeling and Optimization

to:

Webinar Series on Modeling and Optimization

August 01, 2012, at 05:14 PM by 69.169.131.76 -
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(:title Symposium on Advanced Modeling and Optimization - Webinar Series:)

to:

(:title Symposium on Advanced Modeling and Optimization:)

August 01, 2012, at 05:14 PM by 69.169.131.76 -
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(:title Modeling and Optimization Webinars:)

to:

(:title Symposium on Advanced Modeling and Optimization - Webinar Series:)

July 31, 2012, at 08:38 AM by 69.169.131.76 -
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<br><a href='http://youtu.be/wS8ru1IcVBs'>Video 1</a> <br><a href='http://youtu.be/OG2TAYiHz6s'>Video 2</a>

July 28, 2012, at 09:46 PM by 69.169.131.76 -
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</td></tr><tr><td>TBD

to:

</td></tr><tr><td>Mixed Integer Nonlinear Programming

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</td><td>Selen Cremaschi, Univ of Tulsa </td><td>

to:

</td><td>Wesley Cole, UT Austin </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

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</td></tr><tr><td>Mixed Integer Nonlinear Programming

to:

</td></tr><tr><td>TBD

Changed lines 80-81 from:

</td><td>Wesley Cole, UT Austin </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

to:

</td><td>Selen Cremaschi, Univ of Tulsa </td><td>

July 28, 2012, at 09:27 PM by 69.169.131.76 -
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</td><td>Kody Powell

to:

</td><td>Kody Powell, UT Austin

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</td><td>Wesley Cole

to:

</td><td>Wesley Cole, UT Austin

July 28, 2012, at 01:57 PM by 69.169.131.76 -
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</td><td>Oct. 30, 2012

to:

</td><td>Oct. 23, 2012

July 28, 2012, at 01:42 PM by 69.169.131.76 -
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</td><td>July 31, 2012

to:

</td><td>Sept. 4, 2012

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</td></tr><tr><td>Mixed Integer Nonlinear Programming

to:

</td></tr><tr><td>TBD

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</td><td>Sept. 4, 2012

to:

</td><td>Sept. 18, 2012

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</td><td>Wesley Cole </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

to:

</td><td>Juan Ruiz, Visual MESA </td><td>

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</td><td>Sept. 18, 2012

to:

</td><td>Oct. 2, 2012

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</td><td>Juan Ruiz, Visual MESA </td><td>

to:

</td><td>Selen Cremaschi, Univ of Tulsa </td><td>

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</td><td>Oct. 2, 2012

to:

</td><td>Oct. 16, 2012

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</td><td>Selen Cremaschi, Univ of Tulsa

to:

</td><td>Michael Baldea, UT Austin

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</td></tr><tr><td>TBD

to:

</td></tr><tr><td>Mixed Integer Nonlinear Programming

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</td><td>Oct. 16, 2012

to:

</td><td>Oct. 30, 2012

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</td><td>Michael Baldea, UT Austin </td><td>

to:

</td><td>Wesley Cole </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

July 26, 2012, at 07:45 PM by 141.114.79.244 -
Changed line 9 from:

Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization applications.

to:

Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization.

July 26, 2012, at 07:42 PM by 141.114.79.244 -
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</td><td>Juan Ruiz, VisualMesa

to:

</td><td>Juan Ruiz, Visual MESA

July 26, 2012, at 07:42 PM by 141.114.79.244 -
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(:title Optimization and Advanced Control Seminars:)

to:

(:title Modeling and Optimization Webinars:)

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Webinars on Optimization Applications

APM User's Group Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

to:

Webinars on Modeling and Optimization

Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). These seminars consist of applications and tutorials in mathematical modeling, estimation, and optimization applications.

July 26, 2012, at 07:22 PM by 141.114.79.244 -
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</td></tr><tr><td>TBD </td><td> </td><td>Sept. 18, 2012 </td><td nowrap>9AM MST </td><td>Juan Ruiz, VisualMesa </td><td>

</td></tr><tr><td>TBD </td><td> </td><td>Oct. 2, 2012 </td><td nowrap>9AM MST </td><td>Selen Cremaschi, Univ of Tulsa </td><td>

</td></tr><tr><td>TBD </td><td> </td><td>Oct. 16, 2012 </td><td nowrap>9AM MST </td><td>Michael Baldea, UT Austin </td><td>

July 17, 2012, at 04:00 PM by 128.187.97.23 -
Changed line 108 from:

</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a><br><a href='http://youtu.be/1hnBFU-rFBY'>Webinar Video</a>

July 17, 2012, at 10:20 AM by 128.187.97.23 -
Changed line 108 from:

</td><td><a href='href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'''>Presentation</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'>Presentation</a>

July 17, 2012, at 10:20 AM by 128.187.97.23 -
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</td><td nowrap>9AM MST

July 17, 2012, at 10:19 AM by 128.187.97.23 -
Changed lines 48-51 from:

</td></tr><tr><td>DAE Solution for Separation Processes </td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a><br> Password: <b>apm2012</b> </td><td>July 17, 2012

to:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>July 31, 2012

Deleted lines 51-57:

</td><td>David Harney </td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>July 31, 2012 </td><td nowrap>9AM MST

Added lines 106-112:

</td></tr><tr><td>DAE Solution for Separation Processes </td><td><a href='href='/wiki/uploads/Main/apm_reactive_distillation_17July12.pdf'''>Presentation</a> </td><td>July 17, 2012 </td><td nowrap>9AM MST </td><td>David Harney </td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.

July 13, 2012, at 09:47 AM by 128.187.97.23 -
Changed lines 49-50 from:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a><br> Password: <b>apm2012</b>

July 09, 2012, at 04:23 PM by 128.187.97.23 -
Changed line 49 from:

</td><td>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=205046667&RG=1&UID=0&RT=MiM2'>Join Meeting</a>

June 11, 2012, at 11:21 AM by 128.187.97.21 -
Changed lines 48-50 from:

</td></tr><tr><td>Predicting Protein Structures </td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a> </td><td>May 22, 2012

to:

</td></tr><tr><td>DAE Solution for Separation Processes </td><td> </td><td>July 17, 2012

Deleted lines 51-64:

</td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price </td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.

</td></tr><tr><td>Application of Model Predictive Control </td><td> </td><td>June 12, 2012 </td><td nowrap>6AM MST </td><td>Isak Nielsen </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>DAE Solution for Separation Processes </td><td> </td><td>July 17, 2012 </td><td nowrap>9AM MST

Added lines 113-118:

</td></tr><tr><td>Predicting Protein Structures </td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a> </td><td>May 22, 2012 </td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price </td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.

May 22, 2012, at 08:53 PM by 69.169.131.76 -
Changed line 49 from:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_protein_folding_22May12.pdf'>Presentation</a>

May 14, 2012, at 10:40 AM by 128.187.149.240 -
Changed line 52 from:

</td><td nowrap>Josh Price<br>Jose Mojica

to:

</td><td nowrap>Jose Mojica<br>Reza Asgharzadeh<br>Thomas Knotts<br>Josh Price

May 14, 2012, at 10:39 AM by 128.187.149.240 -
Changed lines 48-50 from:

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a> </td><td>May 8, 2012

to:

</td></tr><tr><td>Predicting Protein Structures </td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 22, 2012

Deleted lines 51-57:

</td><td>Casey Abbott </td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

</td></tr><tr><td>Predicting Protein Structures </td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 22, 2012 </td><td nowrap>9AM MST

Added lines 127-132:

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a> </td><td>May 8, 2012 </td><td>Casey Abbott </td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

May 10, 2012, at 09:12 AM by 128.187.128.191 -
Changed line 60 from:

</td><td>Predicting protein structures is a critical area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.

to:

</td><td>Prediction of protein structures is a rapidly advancing area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems. Methods to align experimental results with simulation are discussed.

May 10, 2012, at 09:10 AM by 128.187.128.191 -
Changed line 59 from:

</td><td>Josh Price<br>Jose Mojica

to:

</td><td nowrap>Josh Price<br>Jose Mojica

May 10, 2012, at 09:10 AM by 128.187.128.191 -
Changed line 59 from:

</td><td>Josh Price<br>Reza Asgharzadeh<br>Jose Mojica

to:

</td><td>Josh Price<br>Jose Mojica

May 10, 2012, at 09:10 AM by 128.187.128.191 -
Added lines 54-60:

</td></tr><tr><td>Predicting Protein Structures </td><td><a href='https://byu.webex.com/byu/j.php?ED=199603747&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 22, 2012 </td><td nowrap>9AM MST </td><td>Josh Price<br>Reza Asgharzadeh<br>Jose Mojica </td><td>Predicting protein structures is a critical area of research that relies on parallel computation, advanced optimization techniques, and experimental validation. A genetic algorithm approach is detailed as one of the optimization techniques to solve the mixed-integer nonlinear programming problems.

May 08, 2012, at 03:37 PM by 128.187.97.23 -
Deleted lines 54-60:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 22, 2012 </td><td nowrap>9AM MST </td><td>Kody Powell </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

Added lines 68-74:

</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>July 31, 2012 </td><td nowrap>9AM MST </td><td>Kody Powell </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

May 08, 2012, at 01:36 PM by 128.187.97.18 -
Changed line 56 from:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=199405892&RG=1&UID=0&RT=MiM2'>Register</a>

May 08, 2012, at 09:55 AM by 128.187.97.21 -
Changed line 49 from:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_genetic_algorithms_8May12.pdf'>Presentation</a>

Changed lines 56-57 from:

</td><td> </td><td>May 15, 2012

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 22, 2012

May 07, 2012, at 05:26 PM by 128.187.97.23 -
Changed lines 9-10 from:

APM User's Group Webinars are held about every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

to:

APM User's Group Webinars are held about every two-weeks at 9 AM Mountain Time / 10 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

Changed line 51 from:

</td><td nowrap>10AM MST

to:

</td><td nowrap>9AM MST

Changed line 58 from:

</td><td nowrap>10AM MST

to:

</td><td nowrap>9AM MST

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</td><td nowrap>10AM MST

to:

</td><td nowrap>9AM MST

Changed line 79 from:

</td><td nowrap>10AM MST

to:

</td><td nowrap>9AM MST

May 07, 2012, at 02:55 PM by 128.187.97.23 -
Changed line 53 from:

</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

to:

</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters. <a href='/wiki/uploads/Main/apm_uncertain_params.zip'>Download example application</a>

May 07, 2012, at 02:54 PM by 128.187.97.23 -
Changed lines 48-50 from:

</td></tr><tr><td>SBML Models in APM </td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a> </td><td>April 23, 2012

to:

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 8, 2012

Deleted lines 51-57:

</td><td>David Grigsby </td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 8, 2012 </td><td nowrap>10AM MST

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</td></tr><tr><td>SBML Models in APM </td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a> </td><td>April 23, 2012 </td><td>David Grigsby </td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.

April 24, 2012, at 10:54 AM by 128.187.97.23 -
Changed line 49 from:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slides with Notes</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slide Notes</a>

April 24, 2012, at 10:53 AM by 128.187.97.23 -
Changed line 49 from:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Notes</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Slides with Notes</a>

April 24, 2012, at 10:53 AM by 128.187.97.23 -
Changed line 49 from:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a><br><a href='/wiki/uploads/Main/apm_sbml_notes_23Apr12.pdf'>Notes</a>

April 23, 2012, at 01:20 PM by 128.187.97.23 -
Changed line 49 from:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_sbml_23Apr12.pdf'>Presentation</a>

April 17, 2012, at 12:36 PM by 128.187.97.23 -
Changed line 53 from:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>APM conversion utility</a> and solving SBML example problems.

April 17, 2012, at 09:24 AM by 128.187.97.23 -
Changed line 53 from:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/wiki/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.

April 17, 2012, at 09:24 AM by 128.187.97.23 -
Changed line 53 from:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the conversion utility and solving SBML example problems.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the <a href='/index.php/Main/SBML'>conversion utility</a> and solving SBML example problems.

April 17, 2012, at 09:22 AM by 128.187.97.23 -
Changed line 53 from:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization. The tutorial will include instruction on using the conversion utility and solving SBML example problems.

April 16, 2012, at 05:22 PM by 128.187.97.23 -
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</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is standard format for expressing dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.

April 13, 2012, at 08:48 AM by 69.169.131.76 -
Changed line 53 from:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology. This presentation will provide a tutorial on using SBML models for dynamic simulation, parameter estimation, and optimization.

to:

</td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology. This presentation will provide a tutorial on using large-scale SBML models for dynamic simulation, parameter estimation, and optimization.

April 13, 2012, at 08:46 AM by 69.169.131.76 -
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</td><td>April 24, 2012

to:

</td><td>April 23, 2012

April 06, 2012, at 10:29 AM by 128.187.97.23 -
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</td><td>David Grigsby and Casey Abbott

to:

</td><td>David Grigsby

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</td><td>May 1, 2012

to:

</td><td>May 8, 2012

April 06, 2012, at 10:16 AM by 128.187.97.23 -
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</td></tr><tr><td>Fast Model Predictive Control </td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a> </td><td>April 3, 2012

to:

</td></tr><tr><td>SBML Models in APM </td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>April 24, 2012

Deleted lines 51-57:

</td><td>Trevor Slade and Reza Asgharzadeh </td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

</td></tr><tr><td>SBML Models in APM </td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>April 24, 2012 </td><td nowrap>10AM MST

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</td></tr><tr><td>Fast Model Predictive Control </td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a> </td><td>April 3, 2012 </td><td>Trevor Slade and Reza Asgharzadeh </td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

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</td></tr><tr><td>Optimal Identification for Model Predictive Control </td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a> </td><td>March 13, 2012 </td><td>Mark Darby </td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing. Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound </td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a> </td><td>March 6, 2012 </td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff </td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants. The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB </td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> </td><td>February 21, 2012 </td><td>John Hedengren </td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization. Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Nonlinear Programming with APM Python </td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> </td><td>February 7, 2012 </td><td>John Hedengren </td><td>The APM interface extends Python to be used a variety of optimization applications. Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control </td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> </td><td>January 24, 2012 </td><td>Lee Jacobsen </td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking. Application of SOFCs in load following applications is discussed to improve lifecycle costs.

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following </td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> </td><td>January 17, 2012 </td><td>Solomon Sun </td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints. Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Dynamic Energy Storage </td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a> </td><td>December 13, 2011 </td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

</td></tr><tr><td>Virus and Biological Modeling </td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a> </td><td>November 29, 2011 </td><td>Casey Abbott </td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

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</td></tr><tr><td>Virus and Biological Modeling </td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a> </td><td>November 29, 2011 </td><td>Casey Abbott </td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage </td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a> </td><td>December 13, 2011 </td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following </td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> </td><td>January 17, 2012 </td><td>Solomon Sun </td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints. Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control </td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> </td><td>January 24, 2012 </td><td>Lee Jacobsen </td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking. Application of SOFCs in load following applications is discussed to improve lifecycle costs.

</td></tr><tr><td>Nonlinear Programming with APM Python </td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> </td><td>February 7, 2012 </td><td>John Hedengren </td><td>The APM interface extends Python to be used a variety of optimization applications. Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB </td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> </td><td>February 21, 2012 </td><td>John Hedengren </td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization. Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound </td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a> </td><td>March 6, 2012 </td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff </td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants. The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Optimal Identification for Model Predictive Control </td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a> </td><td>March 13, 2012 </td><td>Mark Darby </td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing. Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.

April 06, 2012, at 10:12 AM by 128.187.97.23 -
Changed line 9 from:

APM User's Group Webinars are held every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

to:

APM User's Group Webinars are held about every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

April 06, 2012, at 10:11 AM by 128.187.97.23 -
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</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

to:

</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

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</td><td> </td><td>April 17, 2012

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=196607642&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>April 24, 2012

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</td><td>David Grigsby </td><td>

to:

</td><td>David Grigsby and Casey Abbott </td><td>The <a href='http://sbml.org'>Systems Biology Markup Language (SBML)</a> is a repository of hundreds of dynamic models in computational biology. This presentation will provide a tutorial on using SBML models for dynamic simulation, parameter estimation, and optimization.

April 06, 2012, at 08:00 AM by 128.187.97.23 -
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</td></tr><tr><td>SBML Models in APM </td><td> </td><td>April 17, 2012 </td><td nowrap>10AM MST </td><td>David Grigsby </td><td>

April 04, 2012, at 12:10 PM by 69.169.188.228 -
April 04, 2012, at 12:09 PM by 69.169.188.228 -
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</td></tr><tr><td>Model Predictive Control for Friction Stir Welding

to:

</td></tr><tr><td>Application of Model Predictive Control

April 04, 2012, at 12:06 PM by 69.169.188.228 -
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</td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a>

to:

</td><td>Presentation

April 03, 2012, at 01:13 PM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_fast_mpc_3Apr12.pdf'>Presentation</a>

April 02, 2012, at 09:32 PM by 69.169.188.228 -
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</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and optimization.

to:

</td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and stability analysis.

April 02, 2012, at 09:31 PM by 69.169.188.228 -
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</td><td>TBD

to:

</td><td>July 17, 2012

April 02, 2012, at 02:54 PM by 128.187.97.23 -
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</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.

to:

</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (1-5 Hz) without storage and retrieval for a four tank process.

March 28, 2012, at 11:18 AM by 128.187.97.23 -
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</td></tr><tr><td>Model Predictive Control for Friction Stir Welding

to:

</td></tr><tr><td>Fast Model Predictive Control

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</td><td>Isak Nielsen </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Fast Model Predictive Control </td><td> </td><td>April 24, 2012 </td><td nowrap>10AM MST </td><td>Trevor Slade

to:

</td><td>Trevor Slade and Reza Asgharzadeh

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</td></tr><tr><td>Model Predictive Control for Friction Stir Welding </td><td> </td><td>June 12, 2012 </td><td nowrap>6AM MST </td><td>Isak Nielsen </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

March 27, 2012, at 03:54 PM by 128.187.97.23 -
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</td></tr><tr><td>Linear Model Predictive Control

to:

</td></tr><tr><td>Model Predictive Control for Friction Stir Welding

March 27, 2012, at 06:35 AM by 69.169.131.76 -
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</td><td nowrap>10AM MST

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</td><td nowrap>10AM MST

March 27, 2012, at 06:35 AM by 69.169.131.76 -
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</td><td nowrap>10AM MST

March 27, 2012, at 05:51 AM by 69.169.131.76 -
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</td></tr><tr><td>Optimal Boiler Control </td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a> </td><td>March 20, 2012

to:

</td></tr><tr><td>Linear Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>April 3, 2012

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</td><td>Jose Mojica </td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers. <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>

</td></tr><tr><td>Linear Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>April 3, 2012 </td><td nowrap>10AM MST

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</td></tr><tr><td>Optimal Boiler Control </td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a> </td><td>March 20, 2012 </td><td nowrap>10AM MST </td><td>Jose Mojica </td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers. <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>

March 22, 2012, at 09:21 AM by 128.187.97.23 -
Changed line 102 from:

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

to:

To participate in an upcoming presentation, click register and provide your name and e-mail address. Registration is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

March 21, 2012, at 02:52 PM by 128.187.97.23 -
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</td><td>Traditionally, Model Predictive Control (MPC) is executed at a rate of 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.

to:

</td><td>Traditionally, Model Predictive Control (MPC) is executed every 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.

March 21, 2012, at 02:30 PM by 128.187.97.23 -
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</td></tr><tr><td>Fast Model Predictive Control </td><td> </td><td>April 24, 2012 </td><td nowrap>10AM MST </td><td>Trevor Slade </td><td>Traditionally, Model Predictive Control (MPC) is executed at a rate of 15-60 seconds. Recent developments have explored storage and retrieval to increase the speed. This work is an implementation of Fast Model Predictive Control (10 Hz) without storage and retrieval for a four tank process.

March 20, 2012, at 11:21 AM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> Password: apm2012

to:

</td><td><a href='/wiki/uploads/Main/apm_boilers_3Mar12.pdf'>Presentation</a>

March 20, 2012, at 09:56 AM by 128.187.97.19 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a> Password: apm2012

March 20, 2012, at 09:33 AM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a>

to:

</td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Join</a>

March 20, 2012, at 09:18 AM by 128.187.97.23 -
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</td><td>TBD

to:

</td><td>May 15, 2012

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</td><td>TBD

to:

</td><td>Sept. 4, 2012

March 20, 2012, at 08:53 AM by 128.187.97.23 -
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</td><td><b>Time</b>

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</td><td nowrap>8AM MST

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</td><td nowrap>8AM MST

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</td><td nowrap>8AM MST

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</td><td nowrap>8AM MST

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</td><td nowrap><b>10AM</b> MST

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</td><td nowrap>8AM MST

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</td><td nowrap>8AM MST

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</td><td nowrap>10AM MST

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</td><td nowrap>4PM MST

March 20, 2012, at 08:51 AM by 128.187.97.23 -
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APM User's Group Webinars are held every two-weeks at 8 AM Mountain Time / 9 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

to:

APM User's Group Webinars are held every two-weeks at 10 AM Mountain Time / 11 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

March 20, 2012, at 08:50 AM by 128.187.97.23 -
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</table>

to:

</table><br>

March 20, 2012, at 08:50 AM by 128.187.97.23 -
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</td><td>Isak Nielsen and John Hedengren

to:

</td><td>Isak Nielsen

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</td></tr><tr><td>Integrated Energy Storage, Forecasting, and Optimization </td><td> </td><td>TBD </td><td nowrap>10AM MST </td><td>Kody Powell </td><td>Optimizing the University of Texas at Austin utilities (heat, cooling, and power) plant has the potential to reduce emissions equivalent to that of 800 cars annually. This green energy project seeks efficiency improvements by more tightly integrating this complex system to achieve peak efficiency.

</td></tr><tr><td>DAE Solution for Separation Processes </td><td> </td><td>TBD </td><td nowrap>10AM MST </td><td>David Harney </td><td>The equations that simulate separation processes naturally involve higher index Differential and Algebraic Equations (DAEs). Other popular techniques for DAE simulation can often only handle up to index-1 DAEs. New techniques for large-scale DAEs allow efficient solution for bifurcation analysis, simulation of complex systems, and optimization.

</td></tr><tr><td>Mixed Integer Nonlinear Programming </td><td> </td><td>TBD </td><td nowrap>10AM MST </td><td>Wesley Cole </td><td>Many design, engineering, and scientific applications include a mixture of continuous and discrete decision variables and nonlinear relationships. Mixed Integer Nonlinear Programming (MINLP) solvers are reviewed and compared for application to a scheduling problem for UT Austin central campus cooling.

March 20, 2012, at 08:10 AM by 128.187.97.23 -
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</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

to:

</td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers. <a href='/wiki/uploads/Main/apm_mpc_demo.zip'>Download example application</a>

March 19, 2012, at 01:46 PM by 128.187.97.23 -
Deleted lines 10-13:

Past Presentations and Future Schedule

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

Changed lines 48-58 from:

</td></tr><tr><td>Friction Stir Welding </td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a> </td><td>November 15, 2011 </td><td nowrap>8AM MST </td><td>Dustin Marshall </td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties. This application is using a PDAE model for estimation and control. The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling </td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a> </td><td>November 29, 2011 </td><td nowrap>8AM MST

to:

</td></tr><tr><td>Optimal Boiler Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>March 20, 2012 </td><td nowrap>10AM MST </td><td>Jose Mojica </td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>April 3, 2012 </td><td nowrap>10AM MST </td><td>Isak Nielsen and John Hedengren </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 1, 2012 </td><td nowrap>10AM MST

Changed lines 67-71 from:

</td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage </td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a> </td><td>December 13, 2011

to:

</td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

</td></tr>

</table> (:htmlend:)

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

Past Presentations

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<tr><td><b>Topic</b> </td><td><b>Registration</b> </td><td><b>Date</b> </td><td><b>Time</b> </td><td><b>Presenter</b> </td><td><b>Description</b>

</td></tr><tr><td>Friction Stir Welding </td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a> </td><td>November 15, 2011

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</td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following </td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> </td><td>January 17, 2012

to:

</td><td>Dustin Marshall </td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties. This application is using a PDAE model for estimation and control. The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling </td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a> </td><td>November 29, 2011

Added lines 126-139:

</td><td>Casey Abbott </td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage </td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a> </td><td>December 13, 2011 </td><td nowrap>8AM MST </td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following </td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> </td><td>January 17, 2012 </td><td nowrap>8AM MST

Deleted lines 176-196:

</td></tr><tr><td>Optimal Boiler Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>March 20, 2012 </td><td nowrap>10AM MST </td><td>Jose Mojica </td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>April 3, 2012 </td><td nowrap>10AM MST </td><td>Isak Nielsen and John Hedengren </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 1, 2012 </td><td nowrap>10AM MST </td><td>Casey Abbott </td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

March 13, 2012, at 09:05 PM by 69.169.131.76 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=194630077&UID=501980762&PW=NYmI5MTM4Yjlk&RT=MiM2'>Join</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_darby_13Mar12.pdf'>Presentation</a>

March 12, 2012, at 01:06 PM by 128.187.97.23 -
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</td></tr><tr><td>Optimal Identification for Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=194630077&UID=501980762&PW=NYmI5MTM4Yjlk&RT=MiM2'>Join</a> </td><td>March 13, 2012 </td><td nowrap>4PM MST </td><td>Mark Darby </td><td>To identify models for MPC applications in chemical plants and refineries, the process is perturbed through increasingly automated step testing. Mark will give a tutorial overview of how to apply practical control engineering and design experiments for model development of dynamic systems.

March 06, 2012, at 01:16 PM by 128.187.97.23 -
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</td><td><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation</a>

to:

</td><td nowrap><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation 1</a><br><a href='/wiki/uploads/Main/apm_pas_6Mar12.pdf'>Presentation 2</a>

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(:htmlend:)

March 06, 2012, at 11:25 AM by 128.187.97.23 -
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</td><td><a href='https://byu.webex.com/byu/j.php?ED=187746022&RG=1&UID=0&RT=MiM2'>Register</a>

to:

</td><td><a href='/wiki/uploads/Main/apm_bvm_6Mar12.pdf'>Presentation</a>

March 05, 2012, at 09:32 AM by 69.169.131.76 -
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(:title Optimization and Advanced Control Seminars:) (:keywords nonlinear, model, predictive control, APMonitor, differential, algebraic, modeling language:) (:description Simulation, optimization, estimation, and control with APMonitor:)

Webinars on Optimization Applications

APM User's Group Webinars are held every two-weeks at 8 AM Mountain Time / 9 AM Central Time (USA). Seminars consist of applications and tutorials using APM in modeling, estimation, and control applications.

Past Presentations and Future Schedule

To participate in an upcoming presentation, click register and provide your name and e-mail address. Log-on information is used to communicate log-on information and a reminder notice just prior to the meeting. There is no charge to register for a webinar. Users can participate via audio or video conference through a telephone or internet connection.

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<table class="sample">

<tr><td><b>Topic</b> </td><td><b>Registration</b> </td><td><b>Date</b> </td><td><b>Time</b> </td><td><b>Presenter</b> </td><td><b>Description</b>

</td></tr><tr><td>Friction Stir Welding </td><td><a href='/wiki/uploads/Main/apmug_fsw_15Nov11.pdf'>Presentation</a> </td><td>November 15, 2011 </td><td nowrap>8AM MST </td><td>Dustin Marshall </td><td>Friction Stir Welding (FSW) temperature control is important to achieve uniform and consistent weld properties. This application is using a PDAE model for estimation and control. The model validation, control, and experimental data testing are discussed.

</td></tr><tr><td>Virus and Biological Modeling </td><td><a href='/wiki/uploads/Main/apmug_bio_29Nov11.pdf'>Presentation</a> </td><td>November 29, 2011 </td><td nowrap>8AM MST </td><td>Casey Abbott </td><td>Large scale biological models are important to gain an understanding of complex pathways to improve treatments such as anti-viral application. Simulated clinical trial data is aligned to an available model of HIV infection.

</td></tr><tr><td>Dynamic Energy Storage </td><td><a href='/wiki/uploads/Main/apm_energy_storage_13Dec11.pdf'>Presentation</a> </td><td>December 13, 2011 </td><td nowrap>8AM MST </td><td>Kody Powell, UT Austin </td><td>Dynamic thermal energy storage with weather forecasting has the potential to improve solar energy capture by up to 64%. Results from a recent study are discussed to demonstrate the benefits of dynamic optimization.

</td></tr><tr><td>Aerial Vehicle Control for Drogue Following </td><td><a href='/wiki/uploads/Main/apm_uav_17Jan12.pdf'>Presentation</a> </td><td>January 17, 2012 </td><td nowrap>8AM MST </td><td>Solomon Sun </td><td>Path optimization of an Unmanned Aerial Vehicle (UAV) becomes more challenging with select constraints. Application of a UAV application is discussed from the MAGICC Lab group at BYU.

</td></tr><tr><td>Solid Oxide Fuel Cell Modeling and Control </td><td><a href='/wiki/uploads/Main/apm_sofc_24Jan12.pdf'>Presentation</a> </td><td>January 24, 2012 </td><td nowrap><b>10AM</b> MST </td><td>Lee Jacobsen </td><td>Solid Oxide Fuel Cells (SOFCs) can be damaged by load changes that shorten life through delamination and micro-cracking. Application of SOFCs in load following applications is discussed to improve lifecycle costs.

</td></tr><tr><td>Nonlinear Programming with APM Python </td><td><a href='/wiki/uploads/Main/apm_tutorial_7Feb12.pdf'>Presentation</a> </td><td>February 7, 2012 </td><td nowrap>8AM MST </td><td>John Hedengren </td><td>The APM interface extends Python to be used a variety of optimization applications. Dynamic optimization programming applications are demonstrated with Python.

</td></tr><tr><td>Nonlinear Programming with APM MATLAB </td><td><a href='/wiki/uploads/Main/apm_tutorial_21Feb12.pdf'>Presentation</a> </td><td>February 21, 2012 </td><td nowrap>8AM MST </td><td>John Hedengren </td><td>The APM interface extends MATLAB to be used for parameter estimation, nonlinear control, and optimization. Participants can <a href='/wiki/uploads/Main/apm_demo.zip'>download a few example applications</a> to run prior to the meeting that will be covered as part of the tutorial.

</td></tr><tr><td>Thermal Oxidizer Boundary Value Management / InBound </td><td><a href='https://byu.webex.com/byu/j.php?ED=187746022&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>March 6, 2012 </td><td nowrap>10AM MST </td><td>Reza Asgharzadeh, Chris Lyden, and Jim Huff </td><td>Thermal oxidizers are used in chemical plants and refineries to combust waste streams with low concentrations of reactants. The design and operation of the thermal oxidizer is of crucial importance for safety, environmental, and economic reasons.

</td></tr><tr><td>Optimal Boiler Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=190523552&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>March 20, 2012 </td><td nowrap>10AM MST </td><td>Jose Mojica </td><td>Load following in power generation is a recent opportunity as time of day pricing and cogeneration are adopted in refining, chemical, and power plants. This work is to improve the load following capabilities of natural gas and coal-fired boilers.

</td></tr><tr><td>Linear Model Predictive Control </td><td><a href='https://byu.webex.com/byu/j.php?ED=193601947&RG=1&UID=0&RT=MiM2 '>Register</a> </td><td>April 3, 2012 </td><td nowrap>10AM MST </td><td>Isak Nielsen and John Hedengren </td><td>Empirical models obtained through subspace identification are a popular form for model predictive control (MPC) applications. This presentation relates a practical application of linear MPC with models obtained by regression techniques. Methods for sparse discrete or continuous Linear Time Invariant (LTI) forms in APMonitor are also reviewed.

</td></tr><tr><td>Optimization of Design Under Uncertainty </td><td><a href='https://byu.webex.com/byu/j.php?ED=192896422&RG=1&UID=0&RT=MiM2'>Register</a> </td><td>May 1, 2012 </td><td nowrap>10AM MST </td><td>Casey Abbott </td><td>Process design has a number of unknown or uncertain parameters that influence the optimal design, desired operational conditions, and project profitability. Optimization of design maximizes the expected NPV (Net Present Value) considering uncertain design parameters.

</td></tr>

</table> (:htmlend:)