Robust Adaptive Fuzzy Control For A Class Of Nonlinear Systems

Fuzzy adaptive robust control method based on the observer is proposed for a class of SISO nonlinear systems by the Lyapunov method and a kind of error observer in the case of the states of the system that can not be measured completely. A Fuzzy logic system is used to approximate the unknown nonlinearities. This paper considers the existence of the approximation error and the system's external disturbance. Provided that the approximation error and the system's external disturbance have an unknown boundary, a robust adaptive control and an adaptive estimation boundary are designed. Finally Matlab is applied to simulation and it is proved that the controller can achieve ideal control performance.