DocumentCode
840656
Title
Global Asymptotic Stability of Delayed Cellular Neural Networks
Author
Zhang, Huaguang ; Wang, Zhanshan
Author_Institution
Northeastern Univ., Liaoning
Volume
18
Issue
3
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
947
Lastpage
950
Abstract
A new criterion for the global asymptotic stability of the equilibrium point of cellular neural networks with multiple time delays is presented. The obtained result possesses the structure of a linear matrix inequality and can be solved efficiently using the recently developed interior-point algorithm. A numerical example is used to show the effectiveness of the obtained result
Keywords
asymptotic stability; cellular neural nets; linear matrix inequalities; delayed cellular neural networks; global asymptotic stability; interior-point algorithm; linear matrix inequality; multiple time delays; Asymptotic stability; Cellular neural networks; Delay effects; Educational institutions; Image processing; Linear matrix inequalities; Neural networks; Nonlinear equations; Signal processing algorithms; Sufficient conditions; Cellular neural networks; global asymptotic stability; multiple time delays;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2007.891628
Filename
4182410
Link To Document