Published April 2007 | Version v1
Journal article

Existence and exponential stability of almost periodic solutions for cellular neural networks with mixed delays

  • 1. College of Mathematics and Information Science, Jiaxing University, Jiaxing, Zhejiang 314001 (China)
  • 2. College of Mathematics and Econometrics, Hunan University, Changsha 410082 (China)

Description

In this paper cellular neural networks with mixed delays are considered. Sufficient conditions for the existence and exponential stability of the almost periodic solutions are established by using fixed point theorem, Lyapunov functional method and differential inequality technique. The results of this paper are new and they complement previously known results

Additional details

Identifiers

DOI
10.1016/j.chaos.2005.10.095;
PII
S0960-0779(05)01034-9;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
32
Journal Issue
1
Journal Page Range
p. 95-103
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38014896
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
LYAPUNOV METHOD; MATHEMATICAL SOLUTIONS; NEURAL NETWORKS; PERIODICITY; STABILITY
Descriptors DEC
CALCULATION METHODS; VARIATIONS

Optional Information

Copyright
Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.