DocumentCode :
1353473
Title :
Improved global robust stability criterion for interval delayed neural networks - brief paper
Author :
Singh, V.
Author_Institution :
Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
Volume :
3
Issue :
12
fYear :
2009
fDate :
12/1/2009 12:00:00 AM
Firstpage :
1648
Lastpage :
1653
Abstract :
A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. Some existing criteria turn out to be special cases of the present criterion. An example shows the effectiveness of the present criterion.
Keywords :
Hopfield neural nets; delays; stability criteria; Hopfield-type interval neural networks; global robust stability criterion; interval delayed neural networks;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2008.0569
Filename :
5352188
Link To Document :
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