An analysis of global asymptotic stability of delayed cellular neural networks

被引：257

作者：

Arik, S ^{[1
]}

机构：

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

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2002年 / 13卷 / 05期

关键词：

delayed cellular neural networks (DCNNs); equilibrium analysis; global stability;

D O I：

10.1109/TNN.2002.1031957

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.

引用

页码：1239 / 1242

页数：4

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