DocumentCode
1547804
Title
Global convergence of delayed dynamical systems
Author
Chen, Tianping
Author_Institution
Inst. of Math., Fudan Univ., Shanghai, China
Volume
12
Issue
6
fYear
2001
fDate
11/1/2001 12:00:00 AM
Firstpage
1532
Lastpage
1536
Abstract
We discuss some delayed dynamical systems, investigating their stability and convergence in a critical case. To ensure the stability, the coefficients of the dynamical system must satisfy some inequalities. In most existing literatures, the restrictions on the coefficients are strict inequalities. The tough question is what will happen in the case (critical case) the strict inequalities are replaced by nonstrict inequalities (i.e., "<" is replaced by "⩽"). The purpose of the paper is to discuss this critical case and give an affirmative answer in the case that the activation functions are hyperbolic tangent
Keywords
asymptotic stability; convergence; delay systems; neural nets; asymptotic stability; delayed dynamical systems; delayed neural networks; global convergence; Biological neural networks; Cellular neural networks; Convergence; Delay effects; Delay systems; Differential equations; Helium; Hopfield neural networks; Mathematics; Stability;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.963793
Filename
963793
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