DocumentCode :
784078
Title :
On robust stability for uncertain neural networks with interval time-varying delays
Author :
Kwon, O.M. ; Park, J.H. ; Lee, S.M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Chungbuk Nat. Univ., Cheongju
Volume :
2
Issue :
7
fYear :
2008
fDate :
7/1/2008 12:00:00 AM
Firstpage :
625
Lastpage :
634
Abstract :
The problem of robust stability of uncertain cellular neural networks with interval time-varying delays is considered. On the basis of the and convex optimisation approach, a new delay-dependent stability criterion for the system is derived in terms of linear matrix inequality using a novel mathematical inequality and stability analysis method. Four numerical examples are included to show the effectiveness of the results.
Keywords :
Lyapunov methods; cellular neural nets; convex programming; delays; linear matrix inequalities; stability; time-varying systems; uncertain systems; Lyapunov function method; delay-dependent stability criterion; interval time-varying delays; linear matrix inequality; robust stability; uncertain cellular neural networks;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta:20070325
Filename :
4559405
Link To Document :
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