Global Robust Stability of Delayed Neural Networks: an Lmi Approach
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Date
2005
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
Green Open Access
No
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No
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Top 1%
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Top 1%
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Top 10%
Abstract
New criteria for the uniqueness and global robust stability of the equilibrium point of the interval Hopfield-type delayed neural networks are presented. The criteria possess the structure of linear matrix inequality and, hence, are computationally efficient.
Description
Keywords
dynamical interval neural networks, equilibrium analysis, global robust stability
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
116
Source
IEEE Transactions on Circuits and Systems II: Express Briefs
Volume
52
Issue
1
Start Page
33
End Page
36
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Citations
CrossRef : 115
Scopus : 126
Captures
Mendeley Readers : 10
SCOPUS™ Citations
126
checked on Feb 01, 2026
Web of Science™ Citations
116
checked on Feb 01, 2026
Page Views
1
checked on Feb 01, 2026
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18.57568342
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