Observer-based adaptive fuzzy control design for a class of nonaffine nonlinear systems

In this paper, a novel observer-based adaptive fuzzy control scheme is proposed for nonaffine nonlinear systems with unknown structure of nonlinearities. The Takagi-Sugeno (T-S) fuzzy model is used for representing the nonaffine part of the system, where the parameters of the fuzzy model are updated online according to Lyapunov stability theorem. Based on Lyapunov theory, the stability of the closed-loop system can be guaranteed, and all signals involved are bounded. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper. The performance of the proposed scheme is evaluated through the simulation results. Simulations are given to show the validity and confirm the performance of the proposed scheme.