Global robust stability of interval delayed neural networks: Modified approach

被引：3

作者：

Singh, Vimal ^{[1
]}

机构：

[1] Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey

来源：

INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS | 2009年 / 37卷 / 09期

关键词：

dynamical interval neural networks; equilibrium analysis; global robust stability; Hopfield neural networks; neural networks; TIME DELAYS; EXPONENTIAL STABILITY; CRITERIA; DYNAMICS; CNN;

D O I：

10.1002/cta.523

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A criterion for the global robust stability of Hopfield-type delayed neural networks with the intervalized network parameters is presented. The criterion, which is derived by utilizing the idea of splitting the given interval into two intervals, is in the form of linear matrix inequality and, hence, computationally tractable. The criterion yields a less conservative condition compared with many recently reported criteria, as is demonstrated with an example. Copyright (C) 2008 John Wiley & Sons, Ltd.

引用

页码：995 / 1007

页数：13

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