Robust adaptive reliable tracking control for a class of uncertain switched fuzzy systems

The problem, which combines the robust adaptive reliable control of uncertain stitched fuzzy system, is studied. Address the robust adaptive reliable control issue of nonlinear systems based on the uncertain switched fuzzy model, which each subsystem is an uncertain Takagi-Sugeno (T-S) fuzzy model. Introducing parametric uncertainly terms into building the T-S model for nonlinear systems, the uncertain switched fuzzy model may approach to the original system more exactly. When the upper bounds of the disturbances are unknown, and the actuator is serious failure and the residual part of actuator can not make original system stable, roust fuzzy adaptive reliable controller is built to ensure the relevant closed-loop system is uniformly ultimately bounded, by using switching technique and multiple Lyapunov function method. The robustness and reliability are guaranteed for the uncertain closed-loop switched fuzzy system in sense of fuzzy controller. A simulation offered the effectiveness of the proposed method.