DocumentCode :
3123699
Title :
Sliding adaptive fuzzy control for a class of time-delayed chaotic systems
Author :
Farzbod, N. ; Zarabadipour, Hassan ; Shoorehdeli, Mahdi Aliyari ; Farivar, Faezeh
Author_Institution :
Eng. Dept., Imam Khomeini Int. Univ. of Qazvin, Qazvin, Iran
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
1882
Lastpage :
1889
Abstract :
In this study, sliding adaptive fuzzy control (SAFC) is proposed to chaos control for a class of time-delayed chaotic systems. An adaptation law based on Gradient Descent (GD) method is utilized to determine the parameters of fuzzy controller. The first derivation of Lyapunov function is considered as the cost function which must be minimized, so the stability of proposed method is guaranteed with Lyapunov stability theory. Moreover, the changes of parameters and delay time are investigated. Simulation results show that the proposed method is appropriate to chaos control and it is robust with respect to changes of parameters. Also it is illustrated that the performance of proposed method is better than the performance of sliding mode controller.
Keywords :
Lyapunov methods; adaptive control; delays; fuzzy control; gradient methods; nonlinear control systems; stability; variable structure systems; Lyapunov function; Lyapunov stability theory; adaptation law; chaos control; cost function; gradient descent method; sliding adaptive fuzzy control; time delayed chaotic systems; Adaptation models; Chaotic communication; Fuzzy systems; Logistics; Lyapunov methods; Stability analysis; Adaptive fuzzy Control; Chaos control; Sliding mode control; Time-delayed chaotic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007665
Filename :
6007665
Link To Document :
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