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Chin. Phys. B, 2009, Vol. 18(5): 1774-1779    DOI: 10.1088/1674-1056/18/5/010
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Fuzzy modeling and impulsive control of hyperchaotic Lü system

Zhang Xiao-Hong(张小洪)a)† and Li Dong(李东)b)
a School of Software Engineering, Chongqing University, Chongqing 400030, China; b College of Mathematics & Physics, Chongqing University, Chongqing 400030, China
Abstract  This paper presents a novel approach to hyperchaos control of hyperchaotic systems based on impulsive control and the Takagi--Sugeno (T--S) fuzzy model. In this study, the hyperchaotic Lü system is exactly represented by the T--S fuzzy model and an impulsive control framework is proposed for stabilizing the hyperchaotic Lü system, which is also suitable for classes of T--S fuzzy hyperchaotic systems, such as the hyperchaotic R?ssler, Chen, Chua systems and so on. Sufficient conditions for achieving stability in impulsive T--S fuzzy hyperchaotic systems are derived by using Lyapunov stability theory in the form of the linear matrix inequality, and are less conservative in comparison with existing results. Numerical simulations are given to demonstrate the effectiveness of the proposed method.
Keywords:  hyperchaos control      impulsive control      T--S fuzzy model      linear matrix inequalities  
Received:  07 October 2008      Revised:  01 November 2008      Accepted manuscript online: 
PACS:  05.45.Gg (Control of chaos, applications of chaos)  
  05.45.Pq (Numerical simulations of chaotic systems)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No 60604007).

Cite this article: 

Zhang Xiao-Hong(张小洪) and Li Dong(李东) Fuzzy modeling and impulsive control of hyperchaotic Lü system 2009 Chin. Phys. B 18 1774

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