Further results on the stability of delayed cellular neural networks

被引：26
|
作者：
Li, XM [1 ]
Huang, LH
Wu, JH
机构：
[1] Hunan Normal Univ, Dept Math, Changsha 410081, Hunan, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[3] York Univ, Dept Math & Stat, N York, ON M3J 1P3, Canada
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2003年 / 50卷 / 09期
关键词：
cellular neural network (CNN); complete stability; delay; global asymptotic stability; image processing;
D O I：
10.1109/TCSI.2003.813982
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This brief gives new sufficient conditions for the complete stability and global asymptotic stability of a delayed cellular neural network. The results are obtained through the construction of a nontrivial Lyapunov functional. Illustrative examples provided show that those conditions are significantly weaker than those in existing literature.
引用
收藏
页码：1239 / 1242
页数：4
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