Title :
Robust stability of stochastic Markovian switching delay systems
Author :
Chen, Yun ; Chen, Liang ; Xue, Anke ; Zhao, Xiaodong
Author_Institution :
Inst. of Operational Res. & Cybern., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
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.
Keywords :
Lyapunov methods; Markov processes; asymptotic stability; computational complexity; delay systems; linear matrix inequalities; mean square error methods; nonlinear control systems; robust control; stochastic systems; uncertain systems; Lipschitz nonlinear uncertainties; Lyapunov-Krasovskii method; auxiliary vector; computational complexity; delay-dependent stochastic stability; linear matrix inequalities; norm-bounded uncertainties; parametric uncertainties; robust asymptotic mean-square stability; stochastic Markovian switching delay system; stochastic integral inequality; uncertain stochastic Markovian delay system; Asymptotic stability; Computational complexity; Cybernetics; Delay systems; Linear matrix inequalities; Robust stability; Stochastic processes; Stochastic systems; Uncertainty; Vectors; LMI; Markovian Switching; Mean-Square Stability; Parametric Uncertainties; Stochastic Delay Systems;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192427