Further results on mean square exponential stability of uncertain stochastic delayed neural networks

被引：0

作者：

Wu, Yuanyuan ^{[1
]}

Wu, Yuqiang ^{[2
]}

机构：

[1] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China

[2] Qufu Normal Univ, Res Inst Automat, Qufu 273165, Peoples R China

来源：

2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年

关键词：

Stochastic neural networks; Time-varying delay; Mean square exponential stability; Linear matrix inequalities; TIME-VARYING DELAYS; ROBUST STABILITY; DISCRETE;

D O I：

10.1109/CCDC.2010.5498709

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter is concerned with the mean square exponential stability problem for a class of uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be neither monotonic, nor differentiable. The proposed delay-dependent stability criterion is derived by utilizing the constructed Lyapunov-Krasovskii functional and the novel technique. A numerical example is presented to show the effectiveness and improvement of the proposed method.

引用

页码：2830 / +

页数：2

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