DocumentCode
1364111
Title
Stability analysis of delayed neural networks
Author
Arik, Sabri
Author_Institution
Dept. of Electron., Istanbul Univ., Turkey
Volume
47
Issue
7
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
1089
Lastpage
1092
Abstract
In this paper, the author derives several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of a delayed neural network independently of the delay parameter. The results obtained impose constraint conditions on the interconnection matrix of the neural system. These results are also compared with the earlier results derived in the literature
Keywords
Lyapunov methods; asymptotic stability; delays; matrix algebra; neural nets; asymptotic stability; constraint conditions; delayed neural networks; equilibrium point; interconnection matrix; stability analysis; sufficient conditions; Asymptotic stability; Bifurcation; Circuit stability; Damping; Neural networks; Power system analysis computing; Power system stability; Power system transients; Stability analysis; Transient analysis;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.855465
Filename
855465
Link To Document