Main

## Main.OptionWmodel History

June 08, 2017, at 11:03 PM by 10.5.113.159 -
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See also WMEAS,Estimation Objective Tuning

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See also WMEAS, Estimation Objective Tuning

June 08, 2017, at 11:03 PM by 10.5.113.159 -
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See also Estimation Objective Tuning

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See also WMEAS,Estimation Objective Tuning

June 02, 2017, at 06:14 AM by 45.56.3.173 -
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See also Estimation Objective Tuning

June 01, 2017, at 06:41 AM by 45.56.3.173 -
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(:title WMODEL - APMonitor Option:) (:keywords WMODEL, Optimization, Estimation, Option, Configure, Default, Description:) (:description Objective function weight on model value:)

 Type: Floating Point, Input
Default Value: 2.0d0
Description: Objective function weight on model value


A weighting factor to penalize deviation of current model predictions from prior model predictions. This is used in estimation applications (APM.IMODE=2, 5, or 8) where the penalty from a prior model prediction is a “forgetting factor” that approximates an infinite estimation horizon or favors prior predictions. The infinite estimation horizon approximation is especially useful for systems that have weakly observable or unobservable states. A higher WMODEL can also help to reduce the aggressiveness of the estimator in aligning with the measurements by balancing with a penalty against shifting too far from the prior predictions. The WMODEL value should never be equal to or larger than the WMEAS value for APM.EV_TYPE=1 (l1-norm). A WMODEL value higher than WMEAS will ignore measured values in favor of matching prior model predictions.