Excitation and suppression of chimera states by multiplexing

Vladimir A. Maksimenko, Vladimir V. Makarov, Bidesh K. Bera, Dibakar Ghosh, Syamal Kumar Dana, Mikhail V. Goremyko, Nikita S. Frolov, Alexey A. Koronovskii, and Alexander E. Hramov
Phys. Rev. E 94, 052205 – Published 4 November 2016

Abstract

We study excitation and suppression of chimera states in an ensemble of nonlocally coupled oscillators arranged in a framework of multiplex network. We consider the homogeneous network (all identical oscillators) with different parametric cases and interlayer heterogeneity by introducing parameter mismatch between the layers. We show the feasibility to suppress chimera states in the multiplex network via moderate interlayer interaction between a layer exhibiting chimera state and other layers which are in a coherent or incoherent state. On the contrary, for larger interlayer coupling, we observe the emergence of identical chimera states in both layers which we call an interlayer chimera state. We map the spatiotemporal behavior in a wide range of parameters, varying interlayer coupling strength and phase lag in two and three multiplexing layers. We also prove the emergence of interlayer chimera states in a multiplex network via evaluation of a continuous model. Furthermore, we consider the two-layered network of Hindmarsh-Rose neurons and reveal that in such a system multiplex interaction between layers is capable of exciting not only the synchronous interlayer chimera state but also nonidentical chimera patterns.

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  • Received 26 May 2016
  • Revised 24 August 2016

DOI:https://doi.org/10.1103/PhysRevE.94.052205

©2016 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear Dynamics

Authors & Affiliations

Vladimir A. Maksimenko1, Vladimir V. Makarov1, Bidesh K. Bera2, Dibakar Ghosh2, Syamal Kumar Dana3,4, Mikhail V. Goremyko1, Nikita S. Frolov1,5, Alexey A. Koronovskii5, and Alexander E. Hramov1,5

  • 1Research and Educational Center “Nonlinear Dynamics of Complex Systems”, Yuri Gagarin State Technical University of Saratov, Saratov 410028, Russia
  • 2Physics and Applied Mathematics Unit, Indian Statistical Institute, Kolkata 700108, India
  • 3CSIR–Indian Institute of Chemical Biology, Kolkata 700032, India
  • 4Center for Complex System Research Kolkata, Kolkata, India
  • 5Faculty of Nonlinear Processes, Saratov State University, Saratov 410012, Russia

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Issue

Vol. 94, Iss. 5 — November 2016

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