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2014 Synchronization of Chaotic Delayed Neural Networks via Impulsive Control
Yang Fang, Kang Yan, Kelin Li
J. Appl. Math. 2014: 1-10 (2014). DOI: 10.1155/2014/305264

Abstract

This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. Based on these new sufficient conditions, an impulsive controller is designed. Moreover, the stable impulsive interval of synchronized neural networks is objectively estimated by combining the MATLAB LMI toolbox and one of the two given equations. Two examples with numerical simulations are given to illustrate the effectiveness of the proposed method.

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Yang Fang. Kang Yan. Kelin Li. "Synchronization of Chaotic Delayed Neural Networks via Impulsive Control." J. Appl. Math. 2014 1 - 10, 2014. https://doi.org/10.1155/2014/305264

Information

Published: 2014
First available in Project Euclid: 2 March 2015

zbMATH: 07010594
MathSciNet: MR3191111
Digital Object Identifier: 10.1155/2014/305264

Rights: Copyright © 2014 Hindawi

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