Improved Global Robust Stability Criterion for 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
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 10%
Influence
Top 10%
Popularity
Average
Abstract
A criterion for the uniqueness and global robust stability of the equilibrium point of interval Hopfield-type delayed neural networks is presented. The criterion is a marked improvement over a recent criterion due to Cao, Huang and Qu. (c) 2005 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Stability theory of functional-differential equations, Hopfield-type delayed neural networks, global robust stability, Robust stability, Neural networks for/in biological studies, artificial life and related topics, Control/observation systems governed by ordinary differential equations, global asymptotic stability
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
25
Source
Chaos, Solitons & Fractals
Volume
31
Issue
1
Start Page
224
End Page
229
PlumX Metrics
Citations
CrossRef : 20
Scopus : 22
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Mendeley Readers : 14
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