Robust Stability of Stochastic Markovian Switching Delay Systems

被引:0
作者
Chen, Yun [1 ,2 ]
Chen, Liang [3 ]
Xue, Anke [2 ]
Zhao, Xiaodong [2 ]
机构
[1] Hangzhou Dianzi Univ, Inst Operat Res & Cybernet, Hangzhou 310018, Peoples R China
[2] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Peoples R China
[3] Zhejiang SUPCON Technol Co Ltd, Hangzhou 310053, Peoples R China
来源
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词
Stochastic Delay Systems; Markovian Switching; Parametric Uncertainties; Mean-Square Stability; LMI; H-INFINITY CONTROL; EXPONENTIAL STABILITY; TIME-DELAY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates robust asymptotic mean-square stability for uncertain stochastic delay systems with Markovian switching. Two types of parametric uncertainties are considered, i.e. Lipschitz nonlinear uncertainties and norm-bounded uncertainties. Based on introducing an auxiliary vector, an integral inequality in stochastic context is obtained. By this stochastic integral inequality, delay-dependent stochastic stability conditions for uncertain stochastic Markovian delay systems are developed. The results are derived by employing Lyapunov-Krasovskii method and presented in terms of linear matrix inequalities (LMIs). A numerical example and computational complexity analysis are provided to show the advantage of the method.
引用
收藏
页码:4106 / +
页数:3
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