Dual Adaptive Controllers based on Partial Certainty Equivalence

Flídr, Miroslav; Šimandl, Miroslav

doi:10.3182/20110828-6-it-1002.02177

Cited by 3 publications

(3 citation statements)

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“…It will be shown, that the number o design parameters can be significantly reduced. Even though some degree of freedom will be lost, the resulting optimization problem still can provide superior control quality quality compared to other explicit dual control methods [8].…”

Section: Parameters Choicementioning

confidence: 99%

“…The explicit type dual control methods [6]- [8] simplify the problem in order to ensure the solvability. These simplifications in itself lead to cautious controller only and thus an explicit enforcement of the probing feature is necessary, e.g by supplementing either the criterion or the control with extra term representing the probing feature of the control.…”

Section: Introductionmentioning

confidence: 99%

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A simplified parametrization of the criterion for the prediction error dual controller

Flídr

Šimandl

2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

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This paper deals with analysis of suboptimal dual controller design for linear discrete time stochastic system with uncertain parameters. The design of the dual controller is based on augmentation of the criterion with suitable measure of the parameters uncertainty in order to explicitly ensure the probing property of the control law. As the uncertainty measure the weighted prediction error of the augmented state is chosen. This approach provides very good quality of the resulting control compared to other explicit dual control method. The drawback of the method can be, however, seen in the lack of methodology for selection of the supplemental weighting matrix. The aim of this article is thus to provide insight into a way how to chose this supplemental weighting matrix with minimum necessary optional parameters.

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Section: Parameters Choicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A simplified parametrization of the criterion for the prediction error dual controller

Flídr

Šimandl

2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

View full text Add to dashboard Cite

show abstract

“…It can also be easily employed for implementation of optimal and adaptive controllers. It was successfully used for numerical simulation of suboptimal adaptive dual controllers for systems with both parameter and functional uncertainties (Flídr andŠimandl, 2011Král anď Simandl, 2011.…”

Section: Introductionmentioning

confidence: 99%