Stability analysis of cellular neural networks with time-varying delay

被引：0
作者：
Wang Xingang1
2. Coll. of Science
3. Coll. of Science
4. School of Computer Engineering and Science
机构：
来源：
Journal of Systems Engineering and Electronics | 2009年 / 20卷 / 02期
基金：
中国国家自然科学基金;
关键词：
cellular neural networks; time-varying delay; integral inequality;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The global asymptotic stability of cellular neural networks with delays is investigated. Three kinds of time delays have been considered. New delay-dependent stability criteria are proposed and are formulated as the feasibility of some linear matrix inequalities, which can be checked easily by resorting to the recently developed interior-point algorithms. Based on the Finsler Lemma, it is theoretically proved that the proposed stability criteria are less conservative than some existing results.
引用
收藏
页码：266 / 273
页数：8
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