文献类型：期刊文献

英文题名：Stability analysis of inertial Cohen-Grossberg-type neural networks with time delays

作者：Ke, Yunquan[1];Miao, Chunfang[1]

机构：[1]Shaoxing Univ, Dept Math, Shaoxing 312000, Zhejiang, Peoples R China

年份：2013

卷号：117

起止页码：196

外文期刊名：NEUROCOMPUTING

收录：SCI-EXPANDED(收录号：WOS:000321408200021)、、EI(收录号：20132516434417)、Scopus(收录号：2-s2.0-84878931538)、WOS

基金：This work was supported by the Natural Science Foundation of Zhejiang Province (No. Y6100096) and the Research project of Department of Education of Zhejiang Province (No. Y201122300).

语种：英文

外文关键词：Inertial Cohen-Grossberg-type; Neural networks; Homeomorphism; Lyapunov functional; Differential mean value theorem; Exponential stability

外文摘要：In this paper, the global exponential stability of inertial Cohen-Grossberg-type neural networks with time delays is investigated. First, by properly chosen variable substitution the system is transformed to the first order differential equation. Second, some sufficient conditions which can ensure the global exponential stability of the system are obtained using homeomorphism and differential mean value theorem, applying the analysis method and inequality technique. Finally, two examples are given to illustrate the effectiveness of the results. (C) 2013 Elsevier B.V. All rights reserved.