Literature DB >> 23319658

Synchronization in complex oscillator networks and smart grids.

Florian Dörfler1, Michael Chertkov, Francesco Bullo.   

Abstract

The emergence of synchronization in a network of coupled oscillators is a fascinating topic in various scientific disciplines. A widely adopted model of a coupled oscillator network is characterized by a population of heterogeneous phase oscillators, a graph describing the interaction among them, and diffusive and sinusoidal coupling. It is known that a strongly coupled and sufficiently homogeneous network synchronizes, but the exact threshold from incoherence to synchrony is unknown. Here, we present a unique, concise, and closed-form condition for synchronization of the fully nonlinear, nonequilibrium, and dynamic network. Our synchronization condition can be stated elegantly in terms of the network topology and parameters or equivalently in terms of an intuitive, linear, and static auxiliary system. Our results significantly improve upon the existing conditions advocated thus far, they are provably exact for various interesting network topologies and parameters; they are statistically correct for almost all networks; and they can be applied equally to synchronization phenomena arising in physics and biology as well as in engineered oscillator networks, such as electrical power networks. We illustrate the validity, the accuracy, and the practical applicability of our results in complex network scenarios and in smart grid applications.

Year:  2013        PMID: 23319658      PMCID: PMC3568350          DOI: 10.1073/pnas.1212134110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  9 in total

Review 1.  The brainweb: phase synchronization and large-scale integration.

Authors:  F Varela; J P Lachaux; E Rodriguez; J Martinerie
Journal:  Nat Rev Neurosci       Date:  2001-04       Impact factor: 34.870

2.  Physics of the rhythmic applause.

Authors:  Z Néda; E Ravasz; T Vicsek; Y Brechet; A L Barabási
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  2000-06

3.  Emerging coherence in a population of chemical oscillators.

Authors:  Istvan Z Kiss; Yumei Zhai; John L Hudson
Journal:  Science       Date:  2002-05-31       Impact factor: 47.728

4.  Heterogeneity in oscillator networks: are smaller worlds easier to synchronize?

Authors:  Takashi Nishikawa; Adilson E Motter; Ying-Cheng Lai; Frank C Hoppensteadt
Journal:  Phys Rev Lett       Date:  2003-07-03       Impact factor: 9.161

5.  A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations.

Authors:  Peter A Tass
Journal:  Biol Cybern       Date:  2003-07-14       Impact factor: 2.086

6.  Quasientrainment and slow relaxation in a population of oscillators with random and frustrated interactions.

Authors: 
Journal:  Phys Rev Lett       Date:  1992-02-17       Impact factor: 9.161

7.  Synchronization in symmetric bipolar population networks.

Authors:  Lubos Buzna; Sergi Lozano; Albert Díaz-Guilera
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-12-23

8.  Theoretical mechanics: crowd synchrony on the Millennium Bridge.

Authors:  Steven H Strogatz; Daniel M Abrams; Allan McRobie; Bruno Eckhardt; Edward Ott
Journal:  Nature       Date:  2005-11-03       Impact factor: 49.962

9.  Paths to synchronization on complex networks.

Authors:  Jesús Gómez-Gardeñes; Yamir Moreno; Alex Arenas
Journal:  Phys Rev Lett       Date:  2007-01-18       Impact factor: 9.161

  9 in total
  36 in total

1.  Chimera states in mechanical oscillator networks.

Authors:  Erik Andreas Martens; Shashi Thutupalli; Antoine Fourrière; Oskar Hallatschek
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-12       Impact factor: 11.205

2.  Creation and perturbation of planar networks of chemical oscillators.

Authors:  Nathan Tompkins; Matthew Carl Cambria; Adam L Wang; Michael Heymann; Seth Fraden
Journal:  Chaos       Date:  2015-06       Impact factor: 3.642

3.  Erosion of synchronization: Coupling heterogeneity and network structure.

Authors:  Per Sebastian Skardal; Dane Taylor; Jie Sun; Alex Arenas
Journal:  Physica D       Date:  2015-11-01       Impact factor: 2.300

4.  Optimal synchronization of directed complex networks.

Authors:  Per Sebastian Skardal; Dane Taylor; Jie Sun
Journal:  Chaos       Date:  2016-09       Impact factor: 3.642

5.  Survivability of Deterministic Dynamical Systems.

Authors:  Frank Hellmann; Paul Schultz; Carsten Grabow; Jobst Heitzig; Jürgen Kurths
Journal:  Sci Rep       Date:  2016-07-13       Impact factor: 4.379

6.  The emergence of waves in random discrete systems.

Authors:  John Pickton; Keith Iain Hopcraft; Eric Jakeman
Journal:  Sci Rep       Date:  2016-12-23       Impact factor: 4.379

7.  Habitat-Specific Clock Variation and Its Consequence on Reproductive Fitness.

Authors:  Bala S C Koritala; Craig Wager; Joshua C Waters; Ryan Pachucki; Benedetto Piccoli; Yaping Feng; Laura B Scheinfeldt; Sunil M Shende; Sohyun Park; James I Hozier; Parth Lalakia; Dibyendu Kumar; Kwangwon Lee
Journal:  J Biol Rhythms       Date:  2019-12-26       Impact factor: 3.182

8.  Collective frequency variation in network synchronization and reverse PageRank.

Authors:  Per Sebastian Skardal; Dane Taylor; Jie Sun; Alex Arenas
Journal:  Phys Rev E       Date:  2016-04-25       Impact factor: 2.529

9.  Functional observability and target state estimation in large-scale networks.

Authors:  Arthur N Montanari; Chao Duan; Luis A Aguirre; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-04       Impact factor: 11.205

10.  Adaptive behaviour and learning in slime moulds: the role of oscillations.

Authors:  Aurèle Boussard; Adrian Fessel; Christina Oettmeier; Léa Briard; Hans-Günther Döbereiner; Audrey Dussutour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-01-25       Impact factor: 6.237

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.