WMEAS - APMonitor Option
Main.OptionWmeas History
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See also [[Main/OptionsWmodel|WMODEL]], [[https://apmonitor.com/do/index.php/Main/EstimatorObjective|Estimation Objective Tuning]]
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See also [[Main/OptionWmodel|WMODEL]], [[https://apmonitor.com/do/index.php/Main/EstimatorObjective|Estimation Objective Tuning]]
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%width=50px%Attach:cv.png [[Main/DbsVariable|Local Options]] | %width=30px%Attach:apm.png [[Main/DbsGlobal|Global Options]]
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See also [[https://apmonitor.com/do/index.php/Main/EstimatorObjective|Estimation Objective Tuning]]
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See also [[Main/OptionsWmodel|WMODEL]], [[https://apmonitor.com/do/index.php/Main/EstimatorObjective|Estimation Objective Tuning]]
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See also [[https://apmonitor.com/do/index.php/Main/EstimatorObjective|Estimation Objective Tuning]]
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(:title WMEAS - APMonitor Option:)
(:keywords WMEAS, Optimization, Estimation, Option, Configure, Default, Description:)
(:description Objective function weight on measured value:)
%width=50px%Attach:cv.png
Type: Floating Point, Input
Default Value: 20.0
Description: Objective function weight on measured value
A weighting factor to penalize deviation of current model predictions from measured values. This is used in estimation applications (APM.IMODE=2, 5, or 8) where the penalty. 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.
(:keywords WMEAS, Optimization, Estimation, Option, Configure, Default, Description:)
(:description Objective function weight on measured value:)
%width=50px%Attach:cv.png
Type: Floating Point, Input
Default Value: 20.0
Description: Objective function weight on measured value
A weighting factor to penalize deviation of current model predictions from measured values. This is used in estimation applications (APM.IMODE=2, 5, or 8) where the penalty. 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.