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Communication Dans Un Congrès Année : 2021

Data Informativity for the Closed-Loop Identification of MISO ARX Systems

Résumé

In the Prediction Error identification framework, it is crucial that the collected data are informative with respect to the chosen model structure to get a consistent estimate. In this work, we focus on the data informativity property for the identification of multi-inputs single-output ARX systems in closed-loop and we derive a necessary and sufficient condition to verify if a given multisine external excitation combined with the feedback introduced by the controller yields informative data with respect to the chosen model structure.
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Dates et versions

hal-02971657 , version 1 (19-10-2020)
hal-02971657 , version 2 (18-11-2020)

Identifiants

Citer

Kévin Colin, Laurent Bako, Xavier Bombois. Data Informativity for the Closed-Loop Identification of MISO ARX Systems. 19th IFAC Symposium on System Identification, Jul 2021, Padova, Italy. ⟨10.1016/j.ifacol.2021.08.456⟩. ⟨hal-02971657v2⟩
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