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《Complex Systems and Complexity Science》 2017-04
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Adaptive Fuzzy Synchronization Control for a Class of Uncertain Chaotic Systems

GAO Zilin;WANG Yinhe;School of Automation,Guangdong University of Technology;School of Computer Science and Engineering,Chongqing Three Gorges University;  
For a class of chaotic systems with unknown nonlinear functions,parameters and disturbances,by employing a time-varying parameter into T-S fuzzy logic systems with nonlinear consequents(T-S-FLS-NRC),the adaptive fuzzy synchronization controller is designed based on the online estimation of parameters by the adaptive method,and the asymptotical synchronization of drive-response chaotic systems is achieved.Generally speaking,T-S-FLS-NRC has higher approximation ability,and we can use the fewer fuzzy rules to approximate the unknown nonlinearities in master and slave systems.Moreover,the number of parameter adaptive laws is not related with the number of fuzzy rules during the process of designing the synchronization controller.Therefore,the synchronization method in this paper is able not only to reduce the on-line computational burden significantly but also to be broader applications for the fuzzy logic systems with few fuzzy rules and high interpretability by using intuition inferences.Finally,the simulations show the validity of the method in this paper.
【Fund】: 国家自然科学基金(61673120 61273219);; 重庆市教委科学技术研究项目(KJ1710244 KJ1401010)
【CateGory Index】: O415.5;TP273
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