Simplified Approach To the Exponential Stability of Delayed Neural Networks With Time Varying Delays
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Date
2007
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 10%
Influence
Average
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Average
Abstract
Sufficient conditions in the form of linear matrix inequalities for the exponential stability of the equilibrium point for delayed neural networks with time varying delays are presented. The conditions turn out to be greatly simplified versions of the exponential stability results previously reported by Yucel and Arik. A distinct feature of the present criteria is that they are free of the degree of exponential stability. This feature makes the criteria computationally very attractive. (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
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
8
Source
Chaos, Solitons & Fractals
Volume
32
Issue
2
Start Page
609
End Page
616
PlumX Metrics
Citations
CrossRef : 7
Scopus : 7
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Mendeley Readers : 8
SCOPUS™ Citations
7
checked on Feb 23, 2026
Web of Science™ Citations
8
checked on Feb 23, 2026
Page Views
2
checked on Feb 23, 2026
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