Global μ-stability of delayed neural networks with unbounded time-varying delays

被引：125

作者：

Chen, Tianping ^{[1
]}

Wang, Lili ^{[1
]}

机构：

[1] Fudan Univ, Inst Math, Key Lab Nonlinear Sci, Chinese Minist Educ, Shanghai 200433, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2007年 / 18卷 / 06期

基金：

中国国家自然科学基金;

关键词：

mu-stability; recurrently connected Neural Networks (NNs); unbounded time-varying delays;

D O I：

10.1109/TNN.2007.902716

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this letter, dynamical systems with unbounded time-varying delays are investigated. We address the following question: To what extent the time-varying delays can exist while the system is stable? Moreover, a new concept of stability, global it mu-stability, is proposed. Under mild conditions, we prove that the dynamical systems with unbounded time-varying delays are globally mu-stable.

引用

页码：1836 / 1840

页数：5

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