Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Adaptive Synchronization in Multi-coupled Dynamic Network

Authors
Ting Zhang
Corresponding Author
Ting Zhang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.278How to use a DOI?
Keywords
Chaos synchronization, FitzHugh–Nagumo model, Neuronal network, Adaptive control
Abstract

Synchronization of multi-coupled dynamical networks has received considerable attention recently. However, it is often difficult to estimate the coupling coefficients since we cannot get the exact boundaries of the variables for most chaotic systems. In this paper the network consisting of N (N 3) coupled FHN systems will synchronize by adding only one adaptive feedback gain equation without exactly estimating the coupling coefficients of the chaotic systems, which is very useful for future practical applications.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.278
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.278How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ting Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Adaptive Synchronization in Multi-coupled Dynamic Network
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1545
EP  - 1550
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.278
DO  - 10.2991/msmee-17.2017.278
ID  - Zhang2017/05
ER  -