DocumentCode :
2947779
Title :
Sliding mode control for uncertain time-delay systems with sector nonlinearities via fuzzy rule
Author :
Hung, Lon-Chen ; Wang, Ching-Yun ; Chung, Hung-Yuan
Author_Institution :
Dept. of Electr. Eng., National Central Univ., Jhong-Li, Taiwan
Volume :
1
fYear :
2005
fDate :
10-12 Oct. 2005
Firstpage :
251
Abstract :
In this paper, the principle of sliding mode control (SMC) is used as a basis to develop an adaptive fuzzy controller for uncertain time-delay systems with sector nonlinearities. The control method provides a simple way to achieve asymptotic stability of the uncertain dynamic system. Other attractive features of the method include a minimal realization of the adaptive fuzzy controller and insensitivity to the uncertainties and disturbances. In addition, the method is capable of handling the chattering problem inherent to the sliding mode control easily and effectively. Since, the design of the rule bases for the fuzzy sliding mode control still has relied on a priori knowledge. The adaptive fuzzy sliding mode system has more robustness against parameter variations and external disturbances than fuzzy sliding mode control. Simulation results are presented to demonstrate these features of the method.
Keywords :
adaptive control; asymptotic stability; control nonlinearities; delay systems; fuzzy control; uncertain systems; variable structure systems; adaptive fuzzy controller; asymptotic stability; fuzzy rule; sector nonlinearity; sliding mode control; uncertain time-delay systems; Adaptive control; Asymptotic stability; Control nonlinearities; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear dynamical systems; Programmable control; Sliding mode control; fuzzy; sector nonlinearities; sliding mode control; time-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571154
Filename :
1571154
Link To Document :
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