DocumentCode
2285975
Title
An improved global stability result for cellular neural networks with time delay
Author
Arik, Sabri
Author_Institution
Dept. of Electr.-Electron. Eng., Istanbul Univ., Turkey
fYear
2002
fDate
22-24 Jul 2002
Firstpage
47
Lastpage
54
Abstract
This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks, which improves the previous stability results derived in the literature.
Keywords
asymptotic stability; cellular neural nets; delayed cellular neural networks; equilibrium point; global asymptotic stability; uniqueness; Asymptotic stability; Cellular neural networks; Delay effects; Equations; Mathematical model; Neural networks; Neurofeedback; Stability analysis; State feedback; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN
981-238-121-X
Type
conf
DOI
10.1109/CNNA.2002.1035034
Filename
1035034
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