A sufficient condition for absolute stability of a larger class of dynamical neural networks

被引：15

作者：

Arik, S ^{[1
]}

Tavsanoglu, V

机构：

[1] Istanbul Univ, 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 / 05期

关键词：

absolute stability; neural networks;

D O I：

10.1109/81.847881

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, we present a sufficient condition for absolute stability of a larger class of dynamical neural networks. It is shown that the H-matrix condition on the interconnection matrix ensures the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point with respect to slope-limited activation functions.

引用

页码：758 / 760

页数：3

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