Title :
Fuzzy Control for a Class of Nonlinear System with Adaptive Fuzzy Supervisory Controller
Author_Institution :
Tianjin Polytech Univ., Tianjin
Abstract :
When the nonlinear functions in the system are bounded but the bound functions are unknown, a fuzzy control equipped with adaptive fuzzy supervisory controller for a class of nonlinear system is presented. In this method, a fuzzy logic system is used to approximate unknown bound function, the supervisory controller is designed by the fuzzy logic system, and the unknown parameters in fuzzy logic system are adjusted adaptively. It is proved that this method can guarantee the bounded of the state of closed-system. Simulation results indicate the effectiveness of this method.
Keywords :
adaptive control; fuzzy control; nonlinear control systems; adaptive fuzzy supervisory controller; fuzzy control; fuzzy logic system; nonlinear functions; nonlinear system class; Adaptive control; Adaptive systems; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; adaptive control; fuzzy control; supervisory control;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347123