Robust stability of uncertain fuzzy cellular neural networks with time-varying delays and reaction diffusion terms

被引：40

作者：

Balasubramaniam, P. ^{[1
]}

Ali, M. Syed ^{[1
]}

机构：

[1] Gandhigram Rural Univ, Dept Math, Gandhigram 624302, Tamil Nadu, India

来源：

NEUROCOMPUTING | 2010年 / 74卷 / 1-3期

关键词：

Fuzzy cellular neural networks; Global stability; Linear matrix inequality; Lyapunov functional; Reaction diffusion terms; GLOBAL EXPONENTIAL STABILITY; PERIODIC-SOLUTIONS; CONVERGENCE; EXISTENCE; LOTKA;

D O I：

10.1016/j.neucom.2010.08.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper the problem of global asymptotic stability for uncertain fuzzy cellular neural networks with time-varying delays and reaction diffusion terms is considered Based on Lyapunov stability theory combined with linear matrix inequality (LMI) techniques some new stability criteria in terms of LMIs are derived by introducing some free weighting matrices which can be selected properly to lead much less conservative results Finally three illustrative examples are given to demonstrate the effectiveness of the proposed stability results (C) 2010 Elsevier B V All rights reserved

引用

页码：439 / 446

页数：8

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