DocumentCode
390687
Title
Global asymptotic stability of delayed cellular neural networks
Author
Chao, Wang ; Qiang, Zhang ; Runnian, Ma ; Jin, Xu
Author_Institution
Inst. of Electron. Eng., Xidian Univ., Xi´´an, China
Volume
1
fYear
2002
fDate
28-31 Oct. 2002
Firstpage
629
Abstract
In this paper, a new sufficient condition is presented ensuring global asymptotic stability of delayed cellular neural networks by using some inequality analysis techniques. This condition is compared with the previous results established in the literature.
Keywords
asymptotic stability; cellular neural nets; delayed cellular neural networks; global asymptotic stability; inequality analysis; Asymptotic stability; Cellular neural networks; Chaos; Delay effects; Image recognition; Land mobile radio cellular systems; Pattern recognition; Piecewise linear techniques; Stability analysis; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN
0-7803-7490-8
Type
conf
DOI
10.1109/TENCON.2002.1181353
Filename
1181353
Link To Document