Published April 18, 2005
| Version v1
Journal article
Synchronization of neural networks by decentralized feedback control
- 1. Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan (China)
- 2. Department of Electrical Engineering, Far-East College, Hsin-Shih Town, Tainan 744, Taiwan (China)
Description
This Letter deals with the synchronization problem of a class of neural networks with/without time delays. Based on the drive-response concept and the Lyapunov stability theorem, a delay-independent and decentralized control law is derived to achieve the exponential synchronization. Two illustrative examples are given to demonstrate the effectiveness of the presented synchronization scheme
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2005.01.082;
- PII
- S0375-9601(05)00236-7;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 338
- Journal Issue
- 1
- Journal Page Range
- p. 28-35
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37033962
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CONTROL THEORY; FEEDBACK; LYAPUNOV METHOD; NEURAL NETWORKS; STABILITY; SYNCHRONIZATION; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.