Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach
Loading...
Date
2004
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Iee-inst Elec Eng
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 1%
Influence
Top 1%
Popularity
Top 10%
Abstract
A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.
Description
Keywords
[No Keyword Available]
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
172
Source
IEE Proceedings - Control Theory and Applications
Volume
151
Issue
1
Start Page
125
End Page
129
PlumX Metrics
Citations
CrossRef : 171
Scopus : 211
Captures
Mendeley Readers : 2
Google Scholar™
