Published May 1, 2006
| Version v1
Journal article
Global synchronization in arrays of delayed neural networks with constant and delayed coupling
Creators
- 1. Department of Mathematics, Southeast University, Nanjing 210096 (China)
Description
This Letter investigates the global exponential synchronization in arrays of coupled identical delayed neural networks (DNNs) with constant and delayed coupling. By referring to Lyapunov functional method and Kronecker product technique, some sufficient conditions are derived for global synchronization of such systems. These new synchronization criteria offer some adjustable matrix parameters, which is of important significance in the design and applications of such coupled DNNs, and the results improve and extend the earlier works. Finally, an example is given to illustrate the theoretical results
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2005.12.092;
- PII
- S0375-9601(05)02003-7;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 353
- Journal Issue
- 4
- Journal Page Range
- p. 318-325
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37068782
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ALGORITHMS; LYAPUNOV METHOD; NEURAL NETWORKS; SYNCHRONIZATION; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICAL LOGIC
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.