Published January 26, 2009
| Version v1
Journal article
Improved delay-dependent stability criterion for neural networks with time-varying delays
Creators
- 1. School of Electrical and Computer Engineering, 410 SungBong-Ro, Heungduk-Gu, Chungbuk National University, Cheongju 361-763 (Korea, Republic of)
- 2. Department of Electrical Engineering, Yeungnam University, 214-1 Dae-Dong, Kyongsan 712-749 (Korea, Republic of)
Description
In this Letter, the problem of stability analysis for neural networks with time-varying delays is considered. By constructing a new Lyapunov functional, a new delay-dependent stability criterion for the network is established in terms of LMIs (linear matrix inequalities) which can be easily solved by various convex optimization algorithms. Two numerical examples are included to show the effectiveness of proposed criterion
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physleta.2008.12.005Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2008.12.005;
- PII
- S0375-9601(08)01727-1;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 373
- Journal Issue
- 5
- Journal Page Range
- p. 529-535
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40056312
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- ALGORITHMS; LYAPUNOV METHOD; MATRICES; NEURAL NETWORKS; OPTIMIZATION; STABILITY; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICAL LOGIC
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.