Novel Lmi Condition for Global Robust Stability of Delayed 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
A novel criterion for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay is presented. The criterion takes the form of a linear matrix inequality and hence is computationally attractive. An example showing the effectiveness of the present approach is given. (C) 2006 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Hopfield-typer neural networks, Control/observation systems governed by functional-differential equations, uniqueness and robust stability of equilibrium, Robust stability, Neural networks for/in biological studies, artificial life and related topics, Control/observation systems governed by ordinary differential equations, linear matrix inequality
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
25
Source
Chaos, Solitons & Fractals
Volume
34
Issue
2
Start Page
503
End Page
508
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Citations
CrossRef : 24
Scopus : 28
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Mendeley Readers : 11
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