Simplified Lmi Condition for Global Asymptotic Stability of Delayed Neural Networks
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Date
2006
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-elsevier Science Ltd
Open Access Color
Green Open Access
No
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Publicly Funded
No
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Impulse
Top 1%
Influence
Top 10%
Popularity
Top 10%
Abstract
A linear matrix inequality (LMI) based criterion for the global asymptotic stability of a class of delayed neural networks is presented. The present criterion is a simplified version of the respective LMI based criterion recently given by Cao and Ho. (c) 2005 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Stability theory of functional-differential equations, Neural networks for/in biological studies, artificial life and related topics
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
46
Source
Chaos, Solitons & Fractals
Volume
29
Issue
2
Start Page
470
End Page
473
PlumX Metrics
Citations
CrossRef : 42
Scopus : 53
Captures
Mendeley Readers : 11
SCOPUS™ Citations
53
checked on Mar 18, 2026
Web of Science™ Citations
50
checked on Mar 18, 2026
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