Conference Proceedings
An adaptive supervisory controller for nonlinear fuzzy logic control systems
M Zhihong, XH Yut, K Eshraghian, M Palaniswami
Anziis 1995 Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems | Published : 1995
Abstract
An adaptive supervisory controller is proposed for nonlinear fuzzy control systems in this paper. 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 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.