DocumentCode
1001463
Title
Global asymptotic stability and global exponential stability of delayed cellular neural networks
Author
Liao, Xiaoxin X. ; Wang, Jun ; Zeng, Zhigang
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
52
Issue
7
fYear
2005
fDate
7/1/2005 12:00:00 AM
Firstpage
403
Lastpage
409
Abstract
In this brief, many novel theorems and corollaries are presented regarding the global asymptotic stability and global exponential stability of cellular neural networks with constant and variable time delays. The stability conditions in the new results improve and generalize existing ones. Several examples are discussed to compare the new results with the existing ones.
Keywords
asymptotic stability; cellular neural nets; delays; time-varying systems; cellular neural networks; constant time delays; global asymptotic stability; global exponential stability; variable time delays; Asymptotic stability; Automation; Cellular neural networks; Cloning; Delay effects; Eigenvalues and eigenfunctions; Image processing; Neural networks; Neurons; Signal processing; Cellular neural networks (CNNs); cloning template; global asymptotic stability; global exponential stability;
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2005.850413
Filename
1468340
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