Title :
T-S fuzzy stochastic bilinear model and fuzzy controller design based on switching piecewise Lyapunov functions
Author :
Li Jiangrong ; Li Junmin ; Xia Zhile
Author_Institution :
Sch. of Sci., Xidian Univ., Xi´an, China
Abstract :
Based on a piecewise quadratic Lyapunov function (PQLF), this paper presents stochastic stability analysis and synthesis methods for the discrete time T-S fuzzy bilinear stochastic systems. Two improved stochastic stability conditions have been established. It is shown that the stability in the mean square for T-S fuzzy bilinear stochastic systems can be established if a PQLF can be constructed. Considering the established stability criterion, the controller can be designed, and the closed loop system is asymptotically stable in the mean square sense. An illustrative example is provided to demonstrate the effectiveness of the results proposed in this paper.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; discrete time systems; fuzzy control; fuzzy systems; mean square error methods; piecewise linear techniques; stability criteria; stochastic systems; time-varying systems; T-S fuzzy bilinear stochastic system; T-S fuzzy stochastic bilinear model; closed loop system; discrete time T-S fuzzy bilinear stochastic system; fuzzy controller design; mean square; piecewise quadratic Lyapunov function; stability criterion; stochastic stability analysis; stochastic stability condition; switching piecewise Lyapunov function; synthesis methods; Control systems; Fuzzy systems; Nonlinear systems; Stability criteria; Stochastic processes; Stochastic systems; Bilinear matrix inequality; Piecewise Lyapunov function; Stochastic bilinear system; T-S fuzzy system;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768