Published February 20, 2006
| Version v1
Journal article
New delay-dependent exponential stability criteria for neural networks with variable delays
Creators
- 1. College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004 (China)
Description
This Letter provides new exponential stability criteria for neural networks with variable delays. By applying the properties of M-matrix properties and inequality techniques, simple and improved delay-dependent exponential stability criteria are derived. These criteria extend and improve the existing ones, which is important in the design of neural networks
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2005.10.058;
- PII
- S0375-9601(05)01626-9;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 351
- Journal Issue
- 1-2
- Journal Page Range
- p. 53-58
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37068563
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DESIGN; MATRICES; NEURAL NETWORKS; STABILITY; TIME DELAY
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.