Synchronization of nonidentical chaotic neural networks with time-varying delays

Authors:
Qiankun Song
Affiliations:
Department of Mathematics, Chongqing Jiaotong University, Chongqing, China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Year:
2011

Citing 5
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Neural networks letter: Synchronization of nonidentical chaotic neural networks with time delays

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Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay

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Abstract

In this paper, the problem on synchronization of two nonidentical chaotic neural networks with time-varying delays is investigated. By constructing a proper sliding surface, and employing a combination of the free-weighting matrix method, inequality technique and Lyapunov theory, a sliding mode controller is designed to achieve the asymptotical synchronization of two nonidentical chaotic neural networks with time-varying delays. The provided condition is expressed in terms of linear matrix inequalities (LMIs), and is dependent on the time delay. A simulation example is given to show the effectiveness.