Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method

Authors:
Zhanshan Wang;Rui Zhang;Yuanwei Jing
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

This paper aims to present an adaptive control scheme for the global asymptotic synchronization for a class of chaotic neural networks. A new sufficient condition is derived for the global synchronization of a class of chaotic neural networks with different structure and interconnection parameters. The proposed control method is easy to be implemented. Numerical simulation shows the effectiveness of the obtained result.