Fuzzy CMAC control for MIMO nonlinear systems

A fuzzy cerebellar model articulation control system is presented for multi-input multi-output (MIMO) nonlinear systems. The proposed control system contains of a fuzzy CMAC (FCMAC) and a robust controller. FCMAC is a main tracking controller utilized to approximate an ideal controller and the parameters of FCMAC are on-line tuned by the derived adaptive laws from the Lyapunov function. The robust controller is designed to suppress the influence of approximate error between the ideal controller and adaptive FCMAC, so that the robust tracking performance of the system can be guaranteed. Finally, two MIMO uncertain nonlinear systems, a Chua's chaotic circuit and a two-inverted pendulum system, are performed to illustrate the effectiveness of the proposed control scheme.

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