Published April 2006 | Version v1
Journal article

Stability analysis for cellular neural networks with variable delays

  • 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.