ON A CLASS OF GLOBALLY STABLE NEURAL CIRCUITS

被引：126

作者：

KASZKUREWICZ, E

BHAYA, A

机构：

[1] Dept. of Electrical Engineering, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, RJ

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 1994年 / 41卷 / 02期

关键词：

D O I：

10.1109/81.269055

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 note shows that diagonal stability of the interconnection matrix leads to a simple proof of the existence, uniqueness, and global asymptotic stability of the equilibrium of a Hopfield-Tank neural circuit, without making some common restrictive assumptions used in earlier results. It is also shown that the same condition guarantees structural stability, which ensures the desirable property of persistence of global asymptotic stability under general C1 perturbations.

引用

页码：171 / 174

页数：4

共 19 条

[1]

Abraham R., 1988, MANIFOLDS TENSOR ANA

[2]

[Anonymous], 1992, NEURAL NETWORKS FUZZ

[3] ON A CLASS OF NONSYMMETRICAL NEURAL NETWORKS WITH APPLICATION TO ADC [J].