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Stochastic $H_\infty$ control of state-dependent jump linear systems with state-dependent noise

Authors :
Chitraganti, Shaikshavali
Aberkane, Samir
Birla Institute of Technology and Science (BITS Pilani)
Centre de Recherche en Automatique de Nancy (CRAN)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)
Source :
IET Control Theory and Applications, IET Control Theory and Applications, Institution of Engineering and Technology, 2019, 13 (9), pp.1291-1297. ⟨10.1049/iet-cta.2018.5638⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; State-dependent jump linear systems (SJLSs) are a set of linear systems whose switching is determined by a finite state random process with state-dependent transition rates. In this study, a SJLS is considered with state multiplicative noise and stochastic perturbations. In particular, the jump process is regarded to have dissimilar transition rates among sets of state evolution space. The aim of this study is to consider stochastic $H_\infty$ control of such systems using state-feedback control input. Sufficient conditions for stochastic $H_\infty$ are obtained by solving linear matrix inequalities, which are validated by a simulation example.

Details

Language :
English
ISSN :
17518644
Database :
OpenAIRE
Journal :
IET Control Theory and Applications, IET Control Theory and Applications, Institution of Engineering and Technology, 2019, 13 (9), pp.1291-1297. ⟨10.1049/iet-cta.2018.5638⟩
Accession number :
edsair.dedup.wf.001..547b2ca94a57e8a5c9c5cf17c86fed01