Synchronization of Networks of Piecewise-Smooth Systems

Marco Coraggio, Pietro Delellis, S. John Hogan, Mario Di Bernardo

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    19 Citations (Scopus)
    433 Downloads (Pure)

    Abstract

    We study convergence in networks of piecewise-smooth (PWS) systems that commonly arise in applications to model dynamical systems whose evolution is affected by macroscopic events such as switches and impacts. Existing approaches were typically oriented toward guaranteeing global bounded synchronizability, local stability of the synchronization manifold, or achieving synchronization by exerting a control action on each node. Here we start by generalizing existing results on QUAD systems to the case of PWS systems, accounting for a large variety of nonlinear coupling laws. Then, we propose that a discontinuous coupling can be used to guarantee global synchronizability of a network of N PWS agents under mild assumptions on the individual dynamics. We provide extensive numerical simulations to gain insights on larger networks.
    Original languageEnglish
    Pages (from-to)653-658
    Number of pages6
    JournalIEEE Control Systems Letters
    Volume2
    Issue number4
    Early online date7 Jun 2018
    DOIs
    Publication statusPublished - 1 Oct 2018

    Bibliographical note

    Funding Information:
    Manuscript received March 5, 2018; revised May 14, 2018; accepted May 29, 2018. Date of publication June 7, 2018; date of current version June 24, 2018. The work of S. J. Hogan was supported by COINOR and Compagnia di San Paolo. Recommended by Senior Editor M. Arcak. (Corresponding author: Marco Coraggio.) M. Coraggio and P. DeLellis are with the Department of Information Technology and Electrical Engineering, University of Naples Federico II, 80125 Naples, Italy (e-mail: [email protected]; [email protected]).

    Publisher Copyright:
    © 2018 IEEE.

    Research Groups and Themes

    • Engineering Mathematics Research Group

    Keywords

    • Switched systems
    • network analysis
    • control

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