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
收藏
页码：1836 / 1840
页数：5
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