English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Global and local performance metric with inertia effects

Li, Q., Schultz, P., Lin, W., Kurths, J., Ji, P. (2020): Global and local performance metric with inertia effects. - Nonlinear Dynamics, 102, 2, 653-665.
https://doi.org/10.1007/s11071-020-05872-4

Item is

Files

show Files
hide Files
:
s11071-020-05872-4 (Publisher version), 257KB
 
File Permalink:
-
Name:
s11071-020-05872-4
Description:
-
Visibility:
Private
MIME-Type / Checksum:
text/html
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
24477.pdf (Preprint), 3MB
Name:
24477.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Li, Qiang1, Author
Schultz, Paul2, Author              
Lin, Wei1, Author
Kurths, Jürgen2, Author              
Ji, Peng1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: A complex system’s structural-dynamical interplay plays a profound role in determining its collective behavior. Irregular behavior in the form of macroscopic chaos, for instance, can be potentially exhibited by the Kuramoto model of coupled phase oscillators at intermediate coupling strength with frequency assortativity and this behavior is theoretically interesting. In practice, however, such irregular behavior is often not under control and is undesired for the system’s functioning. How the underlying structural and oscillators’ dynamical interplay affects a collective phenomenon (and its corresponding stability) after being subjected to disturbances, attracts great attention. Here, we exploit the concept of a coherency performance metric, as a sum of phase differences and frequency displacements, to evaluate the response to perturbations on network-coupled oscillators. We derive the performance metric as a quadratic form of the eigenvalues and eigenmodes corresponding to the unperturbed system and the perturbation vector, and analyze the influences of perturbation direction as well as strength on the metric. We further apply a computational approach to obtain the performance metric’s derivative with respect to the oscillators’ inertia. We finally extend the metric to a local definition which reflects the pairwise casual effects between any two oscillators. These results deepen the understanding of the combined effects of the structural (eigenmodes) and dynamical (inertia) effects on the system stability.

Details

show
hide
Language(s):
 Dates: 2020-08-012020-08-142020-10-15
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11071-020-05872-4
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
MDB-ID: No data to archive
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Green Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nonlinear Dynamics
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 102 (2) Sequence Number: - Start / End Page: 653 - 665 Identifier: Other: Springer
Other: 1573-269X
ISSN: 0924-090X
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nonlinear-dynamics
Publisher: Springer