Data Informativity for the Closed-Loop Identification of MISO ARX Systems. Issue 7 (2021)

• Record Type: Journal Article
• Authors: Colin, Kévin; Bako, Laurent; Bombois, Xavier
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 7(2021)
• Page Start: 779
• Page End: 784
• Publication Date: 2021
• Subjects: System Identification -- Data Informativity -- Prediction Error Method -- Consistency; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.08.456
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.