Finite-time control of switched stochastic delayed systems

被引：37

作者：

Chen, Yun ^{[1
]}

Liu, Qinwen ^{[1
]}

Lu, Renquan ^{[1
]}

Xue, Anke ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 191卷

基金：

中国国家自然科学基金;

关键词：

Switched stochastic delayed systems; Mean-square finite-time stability; Average dwell time; Mode-dependent Lyapunov function; LINEAR-SYSTEMS; H-INFINITY; PRACTICAL STABILITY; STABILIZATION; STATE; NETWORKS;

D O I：

10.1016/j.neucom.2016.01.042

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is devoted to the finite-time stability analysis and control for switched stochastic delayed systems (SSDSs). The issue of mean-square finite-time stability for nonlinear switched stochastic delayed systems (NSSDSs) is considered. A stability criterion with average dwell time constraint is proposed to ensure the mean-square value of state is not larger than a prescribed threshold during a given time interval. This result can be extended to analysis and design for nonlinear/linear switched stochastic delayed systems. Then, based on partial-mode-dependent/mode-dependent Lyapunov function approaches, mean-square finite-time stability conditions for linear switched stochastic delayed systems (LSSDSs) are developed. Subsequently, both partial-mode-dependent and mode-dependent state feedback controllers for LSSDSs are designed, respectively. Finally, an illustrative example is provided to demonstrated the effectiveness of the method. (C) 2016 Published by Elsevier B.V.

引用

页码：374 / 379

页数：6

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