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		Huanxin GUAN,ZhanshanWANG,Huaguang ZHANG.[en_title][J].Control Theory and Technology,2008,6(2):201~107.[Copy]

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HuanxinGUAN,ZhanshanWANG,HuaguangZHANG
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Received:September 06, 2006Revised:March 16, 2007

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Adaptive synchronization of different kinds of chaotic neural networks

Huanxin GUAN, ZhanshanWANG, Huaguang ZHANG

(School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China; Department of Continuous Education, Shenyang Institute of Engineering, Shenyang Liaoning 110034, China)

Abstract:

The purpose of the paper is to present an adaptive control method for the synchronization of different classes of chaotic neural networks. A new sufficient condition for the global synchronization of two kinds of chaotic neural networks is derived. The proposed control method is efficient for implementing the synchronization when the parameters of the drive system are different from those of the response system. A numerical example is used to demonstrate the validity of the proposed method and the obtained result.

Key words: Chaotic system Neural networks Adaptive synchronization Linear matrix inequality