A bayesian approach to closed-loop system identification
Résumé
The challenging issue of identifying a closed-loop system from short and/or non-informative data records is addressed. A bayesian approach is developed within this framework. It is shown that accurate estimates and realistic confidence intervals can be obtained by taking into account prior knowledge on the system. The performances of the proposed method are illustrated with a simulation example.
Origine : Fichiers produits par l'(les) auteur(s)
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