Passivity analysis of neural networks with Markovian jumping parameters and interval time-varying delays

被引：38

作者：

Balasubramaniam, P. ^{[1
]}

Nagamani, G. ^{[1
]}

机构：

[1] Gandhigram Rural Univ, Dept Math, Gandhigram 624302, Tamilnadu, India

来源：

NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2010年 / 4卷 / 04期

关键词：

Linear matrix inequality (LMI); Neural networks; Passivity; Interval time-varying delays; Lyapunov method; DEPENDENT STABILITY-CRITERIA; EXPONENTIAL STABILITY; PASSIFICATION; SYSTEMS;

D O I：

10.1016/j.nahs.2010.07.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the problem of passivity analysis is investigated for neural networks with Markovian jumping parameters, interval time-varying delays and norm bounded parameter uncertainties. The delay-dependent passivity conditions are derived for two types of interval time-varying delay in terms of linear matrix inequalities (LMIs). Finally, three numerical examples are given to show the effectiveness of the proposed conditions. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：853 / 864

页数：12

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