Published April 2007
| Version v1
Journal article
Existence and exponential stability of almost periodic solutions for cellular neural networks with mixed delays
Creators
- 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.