Synchronization between Two Different Chaotic Neural Networks with Fully Unknown Parameters

Authors:
Yinghui Xie;Zengqi Sun;Fushan Wang
Affiliations:
State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China 100084 and Department of Foundat ...;State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China 100084 and National Laboratory o ...;Department of Foundation, ShenYang Artillery Institute, Shenyang, Liaoning, People's Republic of China 110163
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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Abstract

This paper presents the adaptive synchronization between two different chaotic neural networks with fully unknown parameters and with time-delay. Based on the Lyapunov stability theory, the delay-dependent adaptive synchronization controller is designed to asymptotically synchronizing two different chaotic neural networks. A parameter update law is also given. The designed controller can easily be implemented in practice. An illustrative example is given to demonstrate the effectiveness of the present method.