Global robust stability of delayed neural networks: Estimating upper limit of norm of delayed connection weight matrix

被引：53
作者：
Singh, Vimal [1 ]
机构：
[1] Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey
来源：
CHAOS SOLITONS & FRACTALS | 2007年 / 32卷 / 01期
关键词：
D O I：
10.1016/j.chaos.2005.10.104
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The question of estimating the upper limit of parallel to B parallel to(2), which is a key step in some recently reported global robust stability criteria for delayed neural networks, is revisited (B denotes the delayed connection weight matrix). Recently, Cao, Huang, and Qu have given an estimate of the upper limit of parallel to B parallel to(2). In the present paper, an alternative estimate of the upper limit of parallel to B parallel to(2) is highlighted. It is shown that the alternative estimate may yield some new global robust stability results. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：259 / 263
页数：5
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