On the global asymptotic stability of delayed cellular neural networks

被引：313

作者：

Arik, S ^{[1
]}

Tavsanoglu, V

机构：

[1] Univ Istanbul, Dept Elect, TR-34850 Istanbul, Turkey

[2] S Bank Univ, Sch EEIE, London SE1 0AA, England

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 2000年 / 47卷 / 04期

关键词：

delayed cellular neural networks; global stability;

D O I：

10.1109/81.841859

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：

In this paper, a sufficient condition is presented for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNN's). This condition imposes constraints on the feedback matrices independently of the delay parameter. This result is also discussed from the point of view of its relationship to earlier results.

引用

页码：571 / 574

页数：4

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