A New Decentralized Fuzzy Model Reference Adaptive Controller for a Class of Large-scale Nonaffine Nonlinear Systems

This paper proposes a new method to design a decentralized fuzzy adaptive controller (FAC) for a class of large-scale nonaffine nonlinear systems in which functions of the systems and interactions are unknown. Comparing to previous paper which mainly concentrates on affine large-scale system (LSS), the proposed method is on nonaffine nonlinear LSS. The stability of the closedloop system is guaranteed based onLyapunov theory. The proposed controller is robust against uncertainty and external disturbance. To show the effectiveness of the proposed method, an illustrative example is given. The simulation results are very promising.