Published April 2006
| Version v1
Journal article
Stability analysis for cellular neural networks with variable delays
Creators
- 1. Liaoning Key Lab of Intelligent Information Processing, Dalian University, Dalian 116622 (China)
Description
Some sufficient conditions for the global exponential stability of cellular neural networks with variable delay are obtained by means of a method based on delay differential inequality. The method, which does not make use of Lyapunov functionals, is simple and effective for the stability analysis of neural networks with delay. Some previously established results in the literature are shown to be special cases of the presented result
Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2005.05.026;
- PII
- S0960-0779(05)00537-0;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 28
- Journal Issue
- 2
- Journal Page Range
- p. 331-336
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37003622
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- FUNCTIONALS; LYAPUNOV METHOD; NEURAL NETWORKS; STABILITY; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS; FUNCTIONS
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.