Actuator Saturated Fuzzy Controller Design for Interval Type-2 Takagi-Sugeno Fuzzy Models with Multiplicative Noises

In many practical systems, stochastic behaviors usually occur and need to be considered in the controller design. To ensure system performance under effect of behaviors, may become bigger even beyond capacity applications. Therefore, actuator saturation problem also must The type-2 Takagi-Sugeno (T-S) fuzzy model can describe parameter uncertainties more completely than type-1 T-S for a class nonlinear systems. A design method is proposed this paper based on Interval Type-2 (IT2) systems subject saturation. stability analysis some corresponding sufficient conditions IT2 are developed using Lyapunov theory. Via transferring control into Linear Matrix Inequality (LMI) problem, solved by convex optimization algorithm. Finally, ship steering simulations verify feasibility efficiency method.