Title :
Robustly Stochastic Stability Criteria for Takagi-Sugeno Fuzzy Markov Jump System
Author :
Wang Junwei ; Luo Yuesheng
Author_Institution :
Coll. of Sci., Harbin Eng. Univ., Harbin
Abstract :
The problem of robustly stochastic stability criterion for Takagi-Sugeno (T-S) uncertain fuzzy Markov jump system is investigated in this paper. First, we define a type of T-S fuzzy Markov jump system, whose membership function depends on the system mode. In order to get less conservative robustly stochastic stability criterions, we introduce a fuzzy Lyapunov functional and its weak infinitesimal operator for fuzzy Markov jump system. The robustly stochastic stability for the T-S fuzzy Markov jump system with time-varying structured uncertainties are presented in the form of strict linear matrix inequalities (LMIs).
Keywords :
Lyapunov methods; Markov processes; fuzzy control; linear matrix inequalities; robust control; stability criteria; stochastic systems; uncertain systems; Takagi-Sugeno uncertain fuzzy Markov jump system; fuzzy Lyapunov functional; linear matrix inequalities; membership function; robustly stochastic stability criteria; time-varying structured uncertainties; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Robust control; Robust stability; Stability criteria; Stochastic systems; Takagi-Sugeno model; Time varying systems; Uncertainty;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.660