Global robust stability of delayed neural networks

被引：154

作者：

Arik, S ^{[1
]}

机构：

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

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2003年 / 50卷 / 01期

关键词：

dynamical interval neural networks; equilibrium analysis; global robust stability;

D O I：

10.1109/TCSI.2002.807515

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 presents a sufficient condition for the existence, uniqueness, and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter. This result is compared with the previous results derived in the literature.

引用

页码：156 / 160

页数：5

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