Robust synchronization criterion for coupled stochastic discrete-time neural networks with interval time-varying delays, leakage delay, and parameter uncertainties

M. J. Park, O. M. Kwon, Ju H. Park, S. M. Lee, E. J. Cha

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9 Scopus citations

Abstract

The purpose of this paper is to investigate a delay-dependent robust synchronization analysis for coupled stochastic discrete-time neural networks with interval time-varying delays in networks coupling, a time delay in leakage term, and parameter uncertainties. Based on the Lyapunov method, a new delay-dependent criterion for the synchronization of the networks is derived in terms of linear matrix inequalities (LMIs) by constructing a suitable Lyapunov-Krasovskii's functional and utilizing Finsler's lemma without free-weighting matrices. Two numerical examples are given to illustrate the effectiveness of the proposed methods.

Original languageEnglish
Article number814692
JournalAbstract and Applied Analysis
Volume2013
DOIs
StatePublished - 2013

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