Title :
An adaptive supervisory controller for nonlinear fuzzy logic control systems
Author :
Zhihong, Man ; Yut, X.H. ; Eshraghian, K. ; Palaniswami, M.
Author_Institution :
Dept. of Comput. & Commun. Eng., Edith Cowan Univ., WA, Australia
Abstract :
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
Keywords :
Lyapunov methods; adaptive control; adaptive estimation; closed loop systems; control system synthesis; fuzzy control; nonlinear control systems; stability; Lyapunov method; adaptive estimation; adaptive supervisory controller; closed-loop fuzzy systems; constrained system state; controller design; nonlinear fuzzy control systems; stability; system uncertainty bounds; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Nonlinear control systems; Programmable control; Stability; State estimation; Uncertainty;
Conference_Titel :
Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-86422-430-3
DOI :
10.1109/ANZIIS.1995.705740
