On robust stability for uncertain neural networks with interval time-varying delays
On robust stability for uncertain neural networks with interval time-varying delays
- Author(s): O.M. Kwon ; J.H. Park ; S.M. Lee
- DOI: 10.1049/iet-cta:20070325
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- Author(s): O.M. Kwon 1 ; J.H. Park 2 ; S.M. Lee 3
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View affiliations
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Affiliations:
1: School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea
2: Department of Electrical Engineering, Yeungnam University, Kyongsan, Republic of Korea
3: Platform Verification Division, BcN Business Unit, KT CO. Ltd, Daejeon, Republic of Korea
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Affiliations:
1: School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea
- Source:
Volume 2, Issue 7,
July 2008,
p.
625 – 634
DOI: 10.1049/iet-cta:20070325 , Print ISSN 1751-8644, Online ISSN 1751-8652
© The Institution of Engineering and Technology
Published
The problem of robust stability of uncertain cellular neural networks with interval time-varying delays is considered. On the basis of the Lyapunov function method 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.
Inspec keywords: uncertain systems; time-varying systems; delays; cellular neural nets; Lyapunov methods; linear matrix inequalities; stability; convex programming
Other keywords:
Subjects: Distributed parameter control systems; Stability in control theory; Neural nets (theory); Algebra; Time-varying control systems; Optimisation techniques
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