An adaptive supervisory controller for nonlinear fuzzy logic control systems

An adaptive supervisory controller is proposed for nonlinear fuzzy control systems. It is shown that the bounds of system uncertainties are not required in the design of the supervisory controller for nonlinear fuzzy control systems. An adaptive mechanism is developed to adaptively estimate the uncertainty bounds in the Lyapunov sense, and the estimates are then used as the parameters of the supervisory controller, so that the system state can be constrained within a specified set and the stability for the closed-loop fuzzy systems can be guaranteed. The proposed adaptive supervisory controller can be easily implemented for practical application.