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APM.EV_TYPE - APMonitor Option

Main.OptionApmEvType History

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June 09, 2017, at 12:01 AM by 10.5.113.159 -
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See also Estimation Objective Tuning

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See also CV_TYPE, Estimation Objective Tuning

June 02, 2017, at 06:13 AM by 45.56.3.173 -
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See also Estimation Objective Tuning

June 01, 2017, at 01:52 PM by 45.56.3.173 -
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 Description: Estimated variable error model type: 1=linear, 2=squared, 3=approximate linear
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 Description: Estimated variable error model type
              1=linear error, abs(model-measured) with slacks
              2=squared error, (model-measured)^2
              3=approximate linear without slack variables
June 01, 2017, at 01:51 PM by 45.56.3.173 -
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(:title APM.EV_TYPE - APMonitor Option:) (:keywords APM.EV_TYPE, Optimization, Estimation, Option, Configure, Default, Description:) (:description Estimated variable error model type: 1=linear, 2=squared, 3=approximate linear:)

 Type: Integer, Input
 Default Value: 1
 Description: Estimated variable error model type: 1=linear, 2=squared, 3=approximate linear

EV_TYPE applies a specific objective function. Linear is an l1-norm, or in other words the solver minimizes the sum of the absolute value of the difference between the CV and the set point. Squared is an l2-norm or sum squared error (SSE), or in other words the solver minimizes the sum of the squared difference between the CV and the set point. l1-norm can be useful when noise or measurement error is expected because it better rejects those. Option 3 is not typically used as an approximate absolute value function that uses a nonlinear function instead of slack variables.