A Generalized Lmi-Based Approach To the Global Asymptotic Stability of Delayed Cellular Neural Networks
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Date
2004
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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Impulse
Top 1%
Influence
Top 1%
Popularity
Top 10%
Abstract
A novel linear matrix inequality (LMI)-based criterion for the global asymptotic stability and uniqueness of the equilibrium point of a class of delayed cellular neural networks (CNNs) is presented. The criterion turns out to be a generalization and improvement over some previous criteria.
Description
Keywords
delayed cellular neural networks (DCNNs), equilibrium analysis, global stability, Linear Models, Neural Networks, Computer
Fields of Science
0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
192
Source
IEEE Transactions on Neural Networks
Volume
15
Issue
1
Start Page
223
End Page
225
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Citations
CrossRef : 191
Scopus : 211
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