A unified approach to fuzzy modelling and robust synchronization of different hyperchaotic systems
Yu Wen (张化光)ab, Zhao Yan (赵琰)c, Yang Dong-Sheng (余文)d, Zhang Hua-Guang (杨东升)a
a School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; b Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang 110004, China; c Department of Automatic Control Engineering, Shenyang Institute of Engineering, Shenyang 110136, China; d Departamento de Control Automatico, CINVESTAV-IPN, Av. IPN 2508, México D.F. 07360, México
Abstract In this paper, a Takagi--Sugeno (T--S) fuzzy model-based method is proposed to deal with the problem of synchronization of two identical or different hyperchaotic systems. The T--S fuzzy models with a small number of fuzzy IF--THEN rules are employed to represent many typical hyperchaotic systems exactly. The benefit of employing the T--S fuzzy models lies in mathematical simplicity of analysis. Based on the T--S fuzzy hyperchaotic models, two fuzzy controllers are designed via parallel distributed compensation (PDC) and exact linearization (EL) techniques to synchronize two identical hyperchaotic systems with uncertain parameters and two different hyperchaotic systems, respectively. The sufficient conditions for the robust synchronization of two identical hyperchaotic systems with uncertain parameters and the asymptotic synchronization of two different hyperchaotic systems are derived by applying the Lyapunov stability theory. This method is a universal one of synchronizing two identical or different hyperchaotic systems. Numerical examples are given to demonstrate the validity of the proposed fuzzy model and hyperchaotic synchronization scheme.
Received: 09 April 2008
Revised: 06 May 2008
Accepted manuscript online:
Fund: Project supported by the National
Natural Science Foundation of China (Grant Nos 60534010, 60572070,
60774048 and 60728307), the Program for Changjiang Scholars and
Innovative Research Groups of China (Grant No 60521003), the
Specialized Research Fund for the Doctoral Program of Higher
Education of China (Grant No 20070145015), and the National High
Technology Research and Development Program of China (Grant No
2006AA04Z183).
Cite this article:
Yu Wen (张化光), Zhao Yan (赵 琰), Yang Dong-Sheng (余 文), Zhang Hua-Guang (杨东升) A unified approach to fuzzy modelling and robust synchronization of different hyperchaotic systems 2008 Chin. Phys. B 17 4056
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