Direct Adaptive Fuzzy Control for a Class of Nonlinear Discrete-Time Systems

The fuzzy logic system is used to design controller directly for a class of nonlinear discrete-time systems, and the unknown parameters in the controller are adjusted adaptively by the tracking error. It is proved that the proposed method can not only guarantee the bounded of the input signal, but also make the tracking error converge to a small neighborhood of the origin. Simulation results indicate the effectiveness of this method.

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