New Lmi-Based Criteria for Global Robust Stability of Delayed Neural Networks
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Date
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science inc
Open Access Color
HYBRID
Green Open Access
No
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Publicly Funded
No
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Top 10%
Influence
Top 10%
Popularity
Average
Abstract
Some novel, linear matrix inequality based, criteria for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay are presented. A comparison of the present criteria with the previous criteria is made. (C) 2010 Elsevier Inc. All rights reserved.
Description
Keywords
Dynamical interval neural networks, Equilibrium analysis, Global robust stability, Hopfield neural networks, Lyapunov methods, Neural networks, Modelling and Simulation, Applied Mathematics, equilibrium analysis, Stability theory of functional-differential equations, Hopfield neural networks, dynamical interval neural networks, Robust stability, Neural networks for/in biological studies, artificial life and related topics, neural networks, global robust stability, Lyapunov methods
Turkish CoHE Thesis Center URL
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
Q1
OpenCitations Citation Count
12
Source
Applied Mathematical Modelling
Volume
34
Issue
10
Start Page
2958
End Page
2965
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Citations
CrossRef : 12
Scopus : 16
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