Stable Adaptive Fuzzy Variable Structure Control for a Class of Nonlinear Systems

The problem of adaptive fuzzy control for a class of nonlinear systems is studied in this paper. Based on the principle of variable structure control and the approximation capability of the second-type fuzzy systems, a design scheme of an adaptive fuzzy controller is proposed. The control architecture employs fuzzy systems in which the unknown parameters are adjusted on-line to adaptively compensate for plant uncertainties. By using the Lyapunov method, the closed-loop fuzzy control system is proved to be globally stable, with tracking errors converging to a neighborhood of zero. The simulation results are given to demonstrate the effectiveness of the approach.