Passivity analysis of stochastic time-delay neural networks

被引:0
|
作者
Yun Chen
Huijiao Wang
Anke Xue
Renquan Lu
机构
[1] Hangzhou Dianzi University,Institute of Operational Research and Cybernetics
[2] Zhejiang Sci-Tech University,Institute of Automation
[3] Hangzhou Dianzi University,Institute of Information and Control
来源
Nonlinear Dynamics | 2010年 / 61卷
关键词
Stochastic neural networks; Time delays; Asymptotic mean-square stability; Stochastic passivity; Linear matrix inequality (LMI);
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中图分类号
学科分类号
摘要
Passivity analysis of stochastic neural networks with time-varying delays and parametric uncertainties is investigated in this paper. Passivity of stochastic neural networks is defined. Both delay-independent and delay-dependent stochastic passivity conditions are presented in terms of linear matrix inequalities (LMIs). The results are established by using the Lyapunov–Krasovskii functional method. In order to derive the delay-dependent passivity criterion, some free-weighting matrices are introduced. The effectiveness of the method is illustrated by numerical examples.
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页码:71 / 82
页数:11
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