Improved Global Robust Stability Criterion for Interval Delayed Neural Networks
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Date
2009
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
inst Engineering Technology-iet
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
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Impulse
Average
Influence
Average
Popularity
Average
Abstract
A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. Some existing criteria turn out to be special cases of the present criterion. An example shows the effectiveness of the present criterion.
Description
Keywords
[No Keyword Available]
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q2
Scopus Q
Q3
OpenCitations Citation Count
4
Source
IET Control Theory & Applications
Volume
3
Issue
12
Start Page
1648
End Page
1653
PlumX Metrics
Citations
CrossRef : 4
Scopus : 5
Captures
Mendeley Readers : 1
SCOPUS™ Citations
5
checked on Feb 11, 2026
Web of Science™ Citations
4
checked on Feb 11, 2026
Page Views
2
checked on Feb 11, 2026
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