English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  A new criterion for optimizing synchrony of coupled oscillators

Lei, Y., Xu, X.-J., Wang, X., Zou, Y., Kurths, J. (2023): A new criterion for optimizing synchrony of coupled oscillators. - Chaos, Solitons and Fractals, 168, 113192.
https://doi.org/10.1016/j.chaos.2023.113192

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Lei, Yong1, Author
Xu, Xin-Jian1, Author
Wang, Xiaofan1, Author
Zou, Yong1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Synchronization of coupled oscillators is important for understanding collective dynamics of a variety of natural and artificial systems including neuronal networks, Josephson junctions, and power grids. Despite this ubiquity, it remains unclear how the interaction between oscillator’s dynamics and coupled structure either promotes or inhibits synchrony. Here, we introduce a Lyapunov function of the system such that it can be readily optimized to enhance synchrony of even heterogeneous oscillators on sparse networks. We consider two optimizing problems: frequency allocation and network design. Numerical experiments show that the proposed criterion outperform the promising methods, which is explained by a theoretical framework of the correlation between node degree and frequency magnitude.

Details

show
hide
Language(s): eng - English
 Dates: 2023-02-062023-03-01
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.chaos.2023.113192
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Complex Networks
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Chaos, Solitons and Fractals
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 168 Sequence Number: 113192 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190702
Publisher: Elsevier