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Chinese Physics, 2006, Vol. 15(11): 2549-2552    DOI: 10.1088/1009-1963/15/11/015
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Controlling chaos using Takagi--Sugeno fuzzy model and adaptive adjustment

Zheng Yong-Ai(郑永爱)
Department of Computer, College of Information Engineering, Yangzhou University, Yangzhou 225009, China
Abstract  In this paper, an approach to the control of continuous-time chaotic systems is proposed using the Takagi--Sugeno (TS) fuzzy model and adaptive adjustment. Sufficient conditions are derived to guarantee chaos control from Lyapunov stability theory. The proposed approach offers a systematic design procedure for stabilizing a large class of chaotic systems in the literature about chaos research. The simulation results on R?ssler's system verify the effectiveness of the proposed methods.
Keywords:  controlling chaos      adaptive adjustment mechanism      Rössler system      TS fuzzy model  
Received:  03 April 2006      Revised:  10 July 2006      Accepted manuscript online: 
PACS:  05.45.-a (Nonlinear dynamics and chaos)  
Fund: Project supported bythe Natural Science Foundation of Yangzhou University of China (Grant No KK0513109).

Cite this article: 

Zheng Yong-Ai(郑永爱) Controlling chaos using Takagi--Sugeno fuzzy model and adaptive adjustment 2006 Chinese Physics 15 2549

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