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Set-membership estimation based on ellipsoid bundles for discrete-time LPV descriptor systems

Authors :
Tang, Wentao
Zhang, Qinghua
Wang, Zhenhua
Shen, Yi
Dalian University of Technology
Statistical Inference for Structural Health Monitoring (I4S)
Inria Rennes – Bretagne Atlantique
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département Composants et Systèmes (COSYS)
Université Gustave Eiffel-Université Gustave Eiffel
Harbin Institute of Technology (HIT)
Source :
Automatica, Automatica, 2022, 145, pp.1-11. ⟨10.1016/j.automatica.2022.110580⟩
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

International audience; This paper considers set-membership estimation for discrete-time linear parameter-varying descriptor systems. Ellipsoid bundle, a new set representation tool combining certain characteristics of ellipsoids and zonotopes, is used to design a setmembership estimation method for the considered systems. We use the L∞ technique to design the estimator parameters in order to optimize estimation accuracy. This paper also studies the stability problem of the proposed method and establishes an offline sufficient stability condition. Finally, simulation results are presented to illustrate the effectiveness of the proposed method.

Details

ISSN :
00051098
Volume :
145
Database :
OpenAIRE
Journal :
Automatica
Accession number :
edsair.doi.dedup.....5b43f9837b26449a521da5fe7b6dbea9