New sufficient conditions for absolute stability of neural networks

被引：35

作者：

Liang, XB ^{[1
]}

Wu, LD ^{[1
]}

机构：

[1] Fudan Univ, Dept Comp Sci, Shanghai 200433, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 1998年 / 45卷 / 05期

基金：

中国国家自然科学基金;

关键词：

absolute stability; neural networks; structural stability;

D O I：

10.1109/81.668873

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：

The main result obtained in this paper is that for a neural network with interconnection matrix T, if -T is quasi-diagonally row-sum or column-sum dominant, then the network system is absolutely stable, The above two sufficient conditions for absolute stability are independent of the existing sufficient ones in the literature. Under either of the above two sufficient conditions for absolute stability, the vector field defined by the network system is also structurally stable.

引用

页码：584 / 586

页数：3

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