Fuzzy-Logic-Based Adaptive Control for a Class of Nonlinear Discrete-Time System

Recently various continuous adaptive fuzzy control schemes have been proposed to deal with nonlinear systems with poorly understood dynamics by using parameterized fuzzy approximators. However, practical applications call for discrete-time adaptive fuzzy controller design because almost all these controllers are implemented on digital computers. To meet such a demand, in this paper a discrete-time adaptive fuzzy control scheme is developed. The strategy ensures the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded and tracking error will be asymptotically in decay.

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