Synchronization analysis for networked oscillators

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Networks of coupled large scale oscillators have been studied in biology for a number of years. It has been recognized that transient in the nearest neighbor connected networks may take far too long to die out. In the model of mammalian rhythm, it is considered that a few long distance interconnections exist. Typically, these long distance interconnections are considered to occur in a random way. In this study, we discuss the synchronization problem for coupled oscillator networks which can model the mammalian rhythm. Then, the distribution model for the random long distance connections is proposed and is demonstrated by simulation. Furthermore, simulation also shows that synchronization still holds even a large part of the network is destroyed.

Original languageEnglish
Title of host publicationIEEE International Symposium on Intelligent Control - Proceedings
Pages1247-1251
Number of pages5
DOIs
Publication statusPublished - 2006
EventJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) - Munich
Duration: 2006 Oct 42006 Oct 6

Other

OtherJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
CityMunich
Period06/10/406/10/6

Fingerprint

Synchronization

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

Cite this

Chen, X., & Zhai, G. (2006). Synchronization analysis for networked oscillators. In IEEE International Symposium on Intelligent Control - Proceedings (pp. 1247-1251). [4064946] https://doi.org/10.1109/ISIC.2006.285621

Synchronization analysis for networked oscillators. / Chen, Xinkai; Zhai, Guisheng.

IEEE International Symposium on Intelligent Control - Proceedings. 2006. p. 1247-1251 4064946.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, X & Zhai, G 2006, Synchronization analysis for networked oscillators. in IEEE International Symposium on Intelligent Control - Proceedings., 4064946, pp. 1247-1251, Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC), Munich, 06/10/4. https://doi.org/10.1109/ISIC.2006.285621
Chen X, Zhai G. Synchronization analysis for networked oscillators. In IEEE International Symposium on Intelligent Control - Proceedings. 2006. p. 1247-1251. 4064946 https://doi.org/10.1109/ISIC.2006.285621
Chen, Xinkai ; Zhai, Guisheng. / Synchronization analysis for networked oscillators. IEEE International Symposium on Intelligent Control - Proceedings. 2006. pp. 1247-1251
@inproceedings{7110270c8cc64e0eb6a48f267a4c3a64,
title = "Synchronization analysis for networked oscillators",
abstract = "Networks of coupled large scale oscillators have been studied in biology for a number of years. It has been recognized that transient in the nearest neighbor connected networks may take far too long to die out. In the model of mammalian rhythm, it is considered that a few long distance interconnections exist. Typically, these long distance interconnections are considered to occur in a random way. In this study, we discuss the synchronization problem for coupled oscillator networks which can model the mammalian rhythm. Then, the distribution model for the random long distance connections is proposed and is demonstrated by simulation. Furthermore, simulation also shows that synchronization still holds even a large part of the network is destroyed.",
author = "Xinkai Chen and Guisheng Zhai",
year = "2006",
doi = "10.1109/ISIC.2006.285621",
language = "English",
isbn = "0780397983",
pages = "1247--1251",
booktitle = "IEEE International Symposium on Intelligent Control - Proceedings",

}

TY - GEN

T1 - Synchronization analysis for networked oscillators

AU - Chen, Xinkai

AU - Zhai, Guisheng

PY - 2006

Y1 - 2006

N2 - Networks of coupled large scale oscillators have been studied in biology for a number of years. It has been recognized that transient in the nearest neighbor connected networks may take far too long to die out. In the model of mammalian rhythm, it is considered that a few long distance interconnections exist. Typically, these long distance interconnections are considered to occur in a random way. In this study, we discuss the synchronization problem for coupled oscillator networks which can model the mammalian rhythm. Then, the distribution model for the random long distance connections is proposed and is demonstrated by simulation. Furthermore, simulation also shows that synchronization still holds even a large part of the network is destroyed.

AB - Networks of coupled large scale oscillators have been studied in biology for a number of years. It has been recognized that transient in the nearest neighbor connected networks may take far too long to die out. In the model of mammalian rhythm, it is considered that a few long distance interconnections exist. Typically, these long distance interconnections are considered to occur in a random way. In this study, we discuss the synchronization problem for coupled oscillator networks which can model the mammalian rhythm. Then, the distribution model for the random long distance connections is proposed and is demonstrated by simulation. Furthermore, simulation also shows that synchronization still holds even a large part of the network is destroyed.

UR - http://www.scopus.com/inward/record.url?scp=67449143140&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67449143140&partnerID=8YFLogxK

U2 - 10.1109/ISIC.2006.285621

DO - 10.1109/ISIC.2006.285621

M3 - Conference contribution

SN - 0780397983

SN - 9780780397989

SP - 1247

EP - 1251

BT - IEEE International Symposium on Intelligent Control - Proceedings

ER -