DocumentCode
1199907
Title
Global robust stability of delayed neural networks: an LMI approach
Author
Singh, Vimal
Author_Institution
Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
Volume
52
Issue
1
fYear
2005
Firstpage
33
Lastpage
36
Abstract
New criteria for the uniqueness and global robust stability of the equilibrium point of the interval Hopfield-type delayed neural networks are presented. The criteria possess the structure of linear matrix inequality and, hence, are computationally efficient.
Keywords
Hopfield neural nets; circuit stability; linear matrix inequalities; Hopfield-type delayed neural networks; LMI approach; dynamical interval neural networks; equilibrium analysis; global robust stability; linear matrix inequality; Asymptotic stability; Delay; Hopfield neural networks; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Robustness; Symmetric matrices; Uncertainty; Dynamical interval neural networks; equilibrium analysis; global robust 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.2004.840118
Filename
1375055
Link To Document