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An actively adaptive control policy for linear models

Abstract : Considers the quadratic optimal control of a discrete-time linear system with unknown parameters. The control action affects both the future behavior of the system and the precision of the future state and parameter estimates (dual effect). Using the information matrix, the posterior uncertainty on the parameters can be predicted, in order to design an actively adaptive control policy. The case of an autoregressive model is considered. Illustrative examples are presented, together with possible extensions and remaining open questions.
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https://hal.archives-ouvertes.fr/hal-01592004
Contributor : Fatima Pereira <>
Submitted on : Friday, September 22, 2017 - 2:15:22 PM
Last modification on : Monday, October 12, 2020 - 10:30:33 AM

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Luc Pronzato, Caroline Kulcsár, Eric Walter. An actively adaptive control policy for linear models . IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 1996, 41 (6), pp. 855 - 858 ⟨10.1109/9.506238⟩. ⟨hal-01592004⟩

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