New Global Robust Stability Results for Delayed Cellular Neural Networks Based on Norm-Bounded Uncertainties
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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 10%
Influence
Top 10%
Popularity
Top 10%
Abstract
A new linear matrix inequality based approach to the uniqueness and global asymptotic stability of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. A new type of Lyapunov-Krasovskii functional is employed to derive the result. (c) 2005 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Global stability of solutions to ordinary differential equations, Neural networks for/in biological studies, artificial life and related topics, Robust stability
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
33
Source
Chaos, Solitons & Fractals
Volume
30
Issue
5
Start Page
1165
End Page
1171
PlumX Metrics
Citations
CrossRef : 23
Scopus : 35
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Mendeley Readers : 9
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