On input-to-state stability verification of identified models obtained by Koopman operator

Fuente: arXiv
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Main Authors: Mei, Wenjie, Zheng, Dongzhe, Zhou, Yu, Taha, Ahmad, Zhao, Chengyan
Format: Preprint
Published: 2023
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author Mei, Wenjie
Zheng, Dongzhe
Zhou, Yu
Taha, Ahmad
Zhao, Chengyan
author_facet Mei, Wenjie
Zheng, Dongzhe
Zhou, Yu
Taha, Ahmad
Zhao, Chengyan
contents This paper proposes a class of basis functions for realizing the input-to-state stability verification of identified models obtained from the true system (assumed to be input-to-state stable) using the Koopman operator. The formulated input-to-state stability conditions are in the form of linear matrix inequalities. Two extensions are presented to relax the imposed restrictions on the basis functions. Several numerical examples are provided to demonstrate the efficacy of the proposed results.
format Preprint
id arxiv_https___arxiv_org_abs_2309_01242
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On input-to-state stability verification of identified models obtained by Koopman operator
Mei, Wenjie
Zheng, Dongzhe
Zhou, Yu
Taha, Ahmad
Zhao, Chengyan
Systems and Control
This paper proposes a class of basis functions for realizing the input-to-state stability verification of identified models obtained from the true system (assumed to be input-to-state stable) using the Koopman operator. The formulated input-to-state stability conditions are in the form of linear matrix inequalities. Two extensions are presented to relax the imposed restrictions on the basis functions. Several numerical examples are provided to demonstrate the efficacy of the proposed results.
title On input-to-state stability verification of identified models obtained by Koopman operator
topic Systems and Control
url https://arxiv.org/abs/2309.01242