Output Error Recursive Algorithms for Identification of Dual Youla-Kucera Models in Closed Loop Operation - Pôle Automatique et Diagnostic Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Output Error Recursive Algorithms for Identification of Dual Youla-Kucera Models in Closed Loop Operation

Algorithmes d'erreur de sortie récursifs pour l'identification des modèles Youla Kucera Duaux en boucle fermée

Résumé

Dual Youla-Kucera plant model parametrization is very useful for describing model uncertainties. Therefore it is interesting to develop recursive identification algorithms for identification of these type of plant model structures in closed loop operation for potential use in iterative tuning or adaptive control. Following the approach introduced in [1] closed loop output errors type recursive algorithms developed specifically for this type of model structure are presented. The algorithms assure global asymptotic stability in the deterministic environment and unbiased parameter estimation in the presence of noise when the plant model is in the model set. The algorithms will be applied for the identification in closed loop of a test bench for active noise control.

Domaines

Automatique
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Dates et versions

hal-03410639 , version 1 (01-11-2021)

Identifiants

Citer

Ioan Doré Landau, Bernard Vau. Output Error Recursive Algorithms for Identification of Dual Youla-Kucera Models in Closed Loop Operation. ECC 2022 - 20th European Control Conference, European Control Association(EUCA), Jul 2022, Londres, United Kingdom. ⟨10.23919/ECC55457.2022.9838113⟩. ⟨hal-03410639⟩
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