An actively adaptive control policy for linear models

Luc Pronzato 1 Caroline Kulcsár 2 Eric Walter 2
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SYSTEMES
Laboratoire I3S - SIS - Signal, Images et Systèmes
2 L2TI - Laboratoire de Traitement et Transport de l'Information
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.
Type de document :
Article dans une revue
IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 1996, 41 (6), pp. 855 - 858 〈10.1109/9.506238 〉
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https://hal.archives-ouvertes.fr/hal-01592004
Contributeur : Fatima Pereira <>
Soumis le : vendredi 22 septembre 2017 - 14:15:22
Dernière modification le : lundi 5 novembre 2018 - 15:52:02

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UNICE | L2TI | I3S | UNIV-PARIS13 | USPC | UNIV-COTEDAZUR

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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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