Published November 2005
| Version v1
Journal article
On global exponential stability of nonautonomous delayed neural networks
Creators
- 1. University Key Lab of Information Science and Engineering, Dalian University, Dalian 116622 (China)
Description
Global exponential stability of nonautonomous delayed neural networks is considered. Without assuming the differentiability of delay, several criteria are derived by making use of a differential inequality. An example is illustrated to show the applicability of our results
Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2005.02.003;
- PII
- S0960-0779(05)00174-8;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 26
- Journal Issue
- 3
- Journal Page Range
- p. 965-970
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37003393
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DIFFERENTIAL CALCULUS; MATHEMATICAL LOGIC; NEURAL NETWORKS; STABILITY; TIME DELAY
- Descriptors DEC
- MATHEMATICS
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.