MURAL - Maynooth University Research Archive Library



    Controlling synchronization in a complex network of nonlinear oscillators via feedback linearisation and H∞-control


    Faedo, Nicolás, García-Violini, Demián and Ringwood, John (2021) Controlling synchronization in a complex network of nonlinear oscillators via feedback linearisation and H∞-control. Chaos, Solitions and Fractals, 144. pp. 1-6. ISSN 0960-0779

    [thumbnail of J390SyncNF.pdf]
    Preview
    Text
    J390SyncNF.pdf

    Download (1MB) | Preview

    Abstract

    This short communication proposes a strategy to induce complete synchronization in a complex network composed of a general class of nonlinear dynamical oscillators. To that end, we formulate complete synchronization as a robust stabilisation problem, and propose a multiple-input multiple-output feedback decoupling linearisation algorithm in combination with H∞-control, designed to achieve a stable synchronization even in the presence of model uncertainty. We illustrate the strategy via a case study, where a complex network composed of FitzHugh–Nagumo oscillators is considered
    Item Type: Article
    Keywords: Complex networks; Oscillators; Feedback linearisation; Robust control; Synchronization; Consensus;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 16272
    Identification Number: 10.1016/j.chaos.2021.110722
    Depositing User: Professor John Ringwood
    Date Deposited: 06 Jul 2022 13:45
    Journal or Publication Title: Chaos, Solitions and Fractals
    Publisher: Elsevier Science
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/16272
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads