Published February 27, 2006
| Version v1
Journal article
Global exponential stability for nonautonomous cellular neural networks with delays
Creators
- 1. Liaoning Key Lab of Intelligent Information Processing, Dalian University, Dalian 116622 (China) and School of Mechanical Engineering, Dalian University of Technology, Dalian 116024 (China)
- 2. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024 (China)
Description
In this Letter, by utilizing Lyapunov functional method and Halanay inequalities, we analyze global exponential stability of nonautonomous cellular neural networks with delay. Several new sufficient conditions ensuring global exponential stability of the network are obtained. The results given here extend and improve the earlier publications. An example is given to demonstrate the effectiveness of the obtained results
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2005.10.090;
- PII
- S0375-9601(05)01682-8;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 351
- Journal Issue
- 3
- Journal Page Range
- p. 153-160
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37068580
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- LYAPUNOV METHOD; NETWORK ANALYSIS; NEURAL NETWORKS; STABILITY; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.