DocumentCode
1405877
Title
Global stability for cellular neural networks with time delay
Author
Liao, Teh-Lu ; Wang, Fong-Chin
Author_Institution
Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
11
Issue
6
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
1481
Lastpage
1484
Abstract
A sufficient condition related to the existence of a unique equilibrium point and its global asymptotic stability for cellular network networks with delay (DCNNs) is derived. It is shown that the condition relies on the feedback matrices and is independent of the delay parameter. Furthermore, this condition is less restrictive than that given in the literature.
Keywords
asymptotic stability; cellular neural nets; delays; feedback; matrix algebra; feedback matrices; global asymptotic stability; sufficient condition; time delay; unique equilibrium point; Application software; Asymptotic stability; Cellular neural networks; Delay effects; Land mobile radio cellular systems; Linear matrix inequalities; Neural networks; Signal processing; State feedback; Sufficient conditions;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.883480
Filename
883480
Link To Document