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
收藏
页码:2830 / +
页数:2
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