Title :
Fuzzy adaptive control for a class of nonlinear systems
Author :
Jun-min Hu ; Yin-he Wang ; Xiao Wang
Author_Institution :
Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
In this paper, a fuzzy adaptive stabilizing control scheme for a class of nonlinear systems is proposed. This scheme enables us to derive fewer fuzzy rules that constitute the rule base of the controller to achieve the control object. It is proved that the closed-loop system is asymptotically stable based on Lyapunov function. Finally, this scheme is applied to control a inverted pendulum system. The simulation results show that our scheme is more valid than the scheme shown in some papers, even under the condition of system input with some interferences, it also can complete control purposes.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; control system synthesis; fuzzy control; nonlinear control systems; Lyapunov function; asymptotic stability; closed-loop system; fuzzy adaptive control; inverted pendulum system; nonlinear systems; Adaptive control; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control; Stability; Fuzzy adaptive; Lyapunov functions; Nonlinear control; Stability;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5195293
