New LMI-based criteria for global robust stability of delayed neural networks

被引：11

作者：

Singh, Vimal ^{[1
]}

机构：

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

来源：

APPLIED MATHEMATICAL MODELLING | 2010年 / 34卷 / 10期

关键词：

Dynamical interval neural networks; Equilibrium analysis; Global robust stability; Hopfield neural networks; Lyapunov methods; Neural networks; TIME-VARYING DELAYS; LINEAR MATRIX INEQUALITY; EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; TRANSMISSION DELAYS; VARIABLE DELAYS; COEFFICIENTS; IMPULSES;

D O I：

10.1016/j.apm.2010.01.005

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Some novel, linear matrix inequality based, criteria for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay are presented. A comparison of the present criteria with the previous criteria is made. (C) 2010 Elsevier Inc. All rights reserved.

引用

页码：2958 / 2965

页数：8

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