DocumentCode
1217955
Title
Stability of cellular neural networks with time-varying delay
Author
Yu, Gwo-Jeng ; Lu, Chien-Yu ; Tsai, Jason Sheng-Hong ; Su, Te-Jen ; Liu, Bin-Da
Author_Institution
Dept. of Electr. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
Volume
50
Issue
5
fYear
2003
fDate
5/1/2003 12:00:00 AM
Firstpage
677
Lastpage
678
Abstract
The stability for cellular neural networks (CNNs) with time-varying delay is introduced by using a linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature.
Keywords
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; stability criteria; cellular neural networks; delay CNNs; global asymptotic stability; linear-matrix inequality; stability; sufficient condition; time-varying delay; Application software; Asymptotic stability; Cellular neural networks; Delay effects; Hardware; Neural networks; Output feedback; Software systems; State feedback; Sufficient conditions;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/TCSI.2003.811031
Filename
1203828
Link To Document