Published May 1, 2006 | Version v1
Journal article

Global synchronization in arrays of delayed neural networks with constant and delayed coupling

  • 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.