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
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No
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Top 10%
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Top 10%
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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
Turkish CoHE Thesis Center URL
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
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Citations
CrossRef : 20
Scopus : 22
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3.44976978
Sustainable Development Goals
7
AFFORDABLE AND CLEAN ENERGY
