DocumentCode
907775
Title
Robust stability of cellular neural networks with delay: linear matrix inequality approach
Author
Singh, V.
Author_Institution
Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
Volume
151
Issue
1
fYear
2004
Firstpage
125
Lastpage
129
Abstract
A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.
Keywords
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; uncertain systems; cellular neural networks; delay; equilibrium point; global asymptotic stability; linear matrix inequality; norm bounded uncertainties; robust stability; uniqueness;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings -
Publisher
iet
ISSN
1350-2379
Type
jour
DOI
10.1049/ip-cta:20040091
Filename
1269658
Link To Document