Controller switching for a class of stochastic fuzzy systems

The state feedback control switching problems for stochastic fuzzy system by means of switching technology are discussed in paper. The sufficient conditions for mean square stability via linear matrix inequality (LMI) are introduced by using the multiple Lyapunov function methods. The state feedback switching controllers are designed, and these controllers are switched at the point of state feedback control. The given switching strategy achieved global mean square stability of the fuzzy system. The results show that though none of individual continuous state feedback controllers make systems stabilizable, the stability can be realized via switching between finite candidate controllers. Comparing simulation results show the feasibility and effectiveness of the proposed method.