DocumentCode
1056420
Title
Improved Sufficient Conditions for Global Asymptotic Stability of Delayed Neural Networks
Author
Wu, Wei ; Cui, Bao Tong
Author_Institution
Southern Yangtze Univ., Wuxi
Volume
54
Issue
7
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
626
Lastpage
630
Abstract
This brief addresses the global asymptotic stability (GAS) of delayed neural networks. Based on the Lyapunov method, using some existing results for the existence and uniqueness of the equilibrium point, some sufficient conditions are obtained for checking the GAS without demanding the boundedness and differentiability hypotheses for activation functions. Through comparison, it is illustrated that our conditions extend and improve some recent results.
Keywords
Lyapunov methods; asymptotic stability; neural nets; Lyapunov functional; delayed neural networks; global asymptotic stability; Asymptotic stability; Cellular neural networks; Delay effects; Hopfield neural networks; Neural networks; Neurofeedback; Output feedback; State feedback; Sufficient conditions; Symmetric matrices; Delayed neural networks; Lyapunov functional; equilibrium point; global asymptotic stability (GAS);
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2007.895329
Filename
4273652
Link To Document