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/).
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 -