Title :
Sliding mode control for T-S fuzzy stochastic systems with Markovian switching
Author :
Bei Chen ; Yugang Niu ; Tinggang Jia
Author_Institution :
Central Academe, Shanghai Electr. Group Co., Ltd., Shanghai, China
Abstract :
This paper is concerned with the sliding mode control (SMC) problem for a class of T-S fuzzy stochastic systems with Markovian switching. The purpose of the problem addressed is to integrate the SMC method such that, for all admissible parameter uncertainty, external disturbance and state-dependent noise, the closed-loop system is globally asymptotically stable. Especially, it is not required that each nominal local system model shares the same input channel, which is usually assumed in some existing results. It is shown that both the reachability of sliding surfaces and the stability of sliding mode dynamics can be ensured.
Keywords :
Markov processes; asymptotic stability; closed loop systems; fuzzy systems; reachability analysis; stochastic systems; uncertain systems; variable structure systems; Markovian switching; SMC problem; T-S fuzzy stochastic systems; admissible parameter uncertainty; closed-loop system; global asymptotic stability; local system model; sliding mode control problem; sliding mode dynamics stability; sliding surface reachability; state-dependent noise; Linear matrix inequalities; Noise; Sliding mode control; Stochastic systems; Switches; Trajectory; Uncertain systems; Markovian jumping systems; Sliding mode control; State-dependent noise; T-S fuzzy model;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896594