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Incremental H∞ performance for a class of stochastic switched nonlinear systems.

Authors :
Ren, Yuanhong
Wang, Weiqun
Shen, Mingxuan
Wang, Yixiang
Source :
Journal of the Franklin Institute. Oct2018, Vol. 355 Issue 15, p7134-7157. 24p.
Publication Year :
2018

Abstract

Abstract In this paper, we investigate the incremental H ∞ performance problem for a class of stochastic switched nonlinear systems by using a state-dependent switching law and the maximum and minimum dwell time approach. By resorting to the state-dependent switching law, some sufficient conditions are provided to cope with the incremental H ∞ performance problem, which can be applied even if all subsystems are unstable. Then, based on the maximum and minimum dwell time scheme, the incremental H ∞ performance problem to be solvable is derived for two cases: one is all subsystems are incrementally globally asymptotically stable in the mean(IGASiM), another is both IGASiM subsystems and unstable subsystems coexist. When all subsystems are IGASiM, the stochastic switched nonlinear system is IGASiM and possesses a incremental L 2 -gain under given conditions. When both IGASiM subsystems and unstable subsystems coexist, if the activation time ratio between IGASiM subsystems and unstable ones is not less than a specified constant, the sufficient conditions for the incremental H ∞ performance of the stochastic switched nonlinear system are given. Two numerical examples are given to illustrate the validity of methods proposed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00160032
Volume :
355
Issue :
15
Database :
Academic Search Index
Journal :
Journal of the Franklin Institute
Publication Type :
Periodical
Accession number :
131902742
Full Text :
https://doi.org/10.1016/j.jfranklin.2018.08.010