On Global Exponential Stability of Delayed Cellular Neural Networks
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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
Top 10%
Popularity
Average
Abstract
Senan and Arik [Senan S, Arik S. New results for exponential stability of delayed cellular neural networks. IEEE Trans Circ Syst 112005;52(3):154-8] have presented criteria for the global exponential stability of delayed cellular neural networks. A less restrictive version of their approach is highlighted presently. A simplification of the results is discussed. A simplified form of an earlier exponential stability criterion due to Liao, Chen and Sanchez is presented. (c) 2006 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, Dynamical systems in biology
Fields of Science
0103 physical sciences, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
9
Source
Chaos, Solitons & Fractals
Volume
33
Issue
1
Start Page
188
End Page
193
PlumX Metrics
Citations
CrossRef : 9
Scopus : 9
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Mendeley Readers : 12
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