Robust synchronization criterion for coupled stochastic discrete-time neural networks with interval time-varying delays, leakage delay, and parameter uncertainties
type: Item
instance of: scholarly article
title: Robust synchronization criterion for coupled stochastic discrete-time neural networks with interval time-varying delays, leakage delay, and parameter uncertainties
zbMATH Open document ID: 1274.93251
DOI: 10.1155/2013/814692
author: Yanyan Li
published in: Abstract and Applied Analysis
publication date: 2013-05-08T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93E15
Mathematics Subject Classification ID: 93C55
zbMATH DE Number: 6161378
Wikidata QID: Q57590719
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/814692
OpenAlex ID: W2086451130
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description: scientific article; zbMATH DE number 6161378