New results of stability analysis for a class of neutral-type neural network with mixed time delays

被引：0
|
作者：
Deyou Liu
Yue Du
机构：
[1] Yanshan University,Department of Applied Mathematics
来源：
International Journal of Machine Learning and Cybernetics | 2015年 / 6卷
关键词：
Uncertain neutral-type neutral networks; The global exponential robust stability; Lyapunov–Krasovskii functionals; Triple terms; Linear matrix inequality (LMI);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, by using Lyapunov–Krasovskii functionals involving triple terms, we investigate the global exponential robust stability for uncertain neutral-type neutral networks with discrete and distributed delays. Several stability criteria are derived for the delayed neural networks in terms of LMIs. Some numerical examples are given to illustrate the applicability of the obtained results by using LMI control toolbox in MATLAB.
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页码：555 / 566
页数：11
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