Optimal Synchronization of Complex Networks

Per Sebastian Skardal, Dane Taylor, and Jie Sun
Phys. Rev. Lett. 113, 144101 – Published 30 September 2014

Abstract

We study optimal synchronization in networks of heterogeneous phase oscillators. Our main result is the derivation of a synchrony alignment function that encodes the interplay between network structure and oscillators’ frequencies and that can be readily optimized. We highlight its utility in two general problems: constrained frequency allocation and network design. In general, we find that synchronization is promoted by strong alignments between frequencies and the dominant Laplacian eigenvectors, as well as a matching between the heterogeneity of frequencies and network structure.

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  • Received 28 February 2014

DOI:https://doi.org/10.1103/PhysRevLett.113.144101

© 2014 American Physical Society

Authors & Affiliations

Per Sebastian Skardal1,2,*, Dane Taylor2,3,4,†, and Jie Sun5,‡

  • 1Departament d’Enginyeria Informatica i Matemátiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain
  • 2Department of Applied Mathematics, University of Colorado at Boulder, Boulder, Colorado 80309, USA
  • 3Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, North Carolina 27709, USA
  • 4Department of Mathematics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
  • 5Department of Mathematics, Clarkson University, Potsdam, New York 13699, USA

  • *skardals@gmail.com
  • dane.r.taylor@gmail.com
  • sunj@clarkson.edu

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Issue

Vol. 113, Iss. 14 — 3 October 2014

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