Published October 2007
| Version v1
Journal article
Novel LMI condition for global robust stability of delayed neural networks
Creators
- 1. Department of Electrical-Electronics Engineering, Atilim University, Ankara 06836 (Turkey)
Description
A novel criterion for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay is presented. The criterion takes the form of a linear matrix inequality and hence is computationally attractive. An example showing the effectiveness of the present approach is given
Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2006.03.034;
- PII
- S0960-0779(06)00263-3;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 34
- Journal Issue
- 2
- Journal Page Range
- p. 503-508
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 39005790
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- EQUILIBRIUM; MATRICES; NEURAL NETWORKS; STABILITY; TIME DELAY
Optional Information
- Copyright
- Copyright (c) 2006 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.