文献类型：期刊文献

英文题名：Multistability of competitive neural networks with time-delay in the saturation region

作者：Ke, Yunquan[1]; Miao, Chunfang[1]

机构：[1] Department of Mathematics, Shaoxing University, Shaoxing, Zhejiang, 312000, China

年份：2012

卷号：11

期号：11

起止页码：1048

外文期刊名：WSEAS Transactions on Mathematics

收录：EI(收录号：20130415931323)、Scopus(收录号：2-s2.0-84872467342)

语种：英文

外文关键词：Time delay

外文摘要：In this paper, the multistability analysis of the competitive neural networks with time-delay are investigated based on the stability theory, by selecting properly the system parameters, using solution matrix property and inequality technique, several novel sufficient conditions ensuring the existence and exponential stability of equilibria are obtained when the equilibrium point located in the saturation region. These conditions can be directly derived from the synaptic weights, the strength of the external stimulus and the external input of the competitive neural networks, and be verified easily. In addition, four examples are given to show the effectiveness of the results.