Robust Tracking Control Design for Nonlinear Systems via Fuzzy Observer

This paper presents fuzzy tracking control design for nonlinear systems. Considering not all states of the nonlinear system are fully available or measured while Takagi-Sugeno (T-S) fuzzy model is used to represent the dynamic of nonlinear system, a fuzzy observer-based fuzzy controller is developed to reduce the tracking error. This case yields a disturbance when designing tracking control, so H∞ Scheme is employed to achieve the prescribed robust tracking performance. Simulation example is provided to illustrate the tracking control design procedure and performance of the proposed methods.