Semi-global state synchronization for continuous or discrete-time multi-agent systems subject to actuator saturation

Meirong Zhang, Ali Saberi, Antonie Arij Stoorvogel

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    1 Citation (Scopus)

    Abstract

    This paper studies semi-global state synchronization of homogeneous networks with diffusive full-state coupling or partial-state coupling in the presence of input saturation. Both continuous-time and discrete-time agents are considered. We assume that agents are at most critical unstable, that is the agents have all its eigenvalues in the closed left-half complex plane for continuous-time systems, or have all its eigenvalues in the closed unit disc for discrete-time systems. The communication network is associated with a graph containing a directed spanning tree. In this paper, we propose a linear static protocol for MAS with full-state coupling and a linear dynamic protocol for MAS with partial-state coupling based on a low-gain methodology, such that state synchronization is achieved among agents for any initial conditions in an, a priori given, compact set.
    Original languageEnglish
    Title of host publication2018 Annual American Control Conference, ACC 2018
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages3380 - 3385
    Number of pages6
    Volume2018-June
    ISBN (Electronic)978-1-5386-5428-6
    ISBN (Print)9781538654286
    DOIs
    Publication statusPublished - 2018
    Event2018 Annual American Control Conference, ACC 2018 - Wisconsin Center, Milwauke, United States
    Duration: 27 Jun 201829 Jun 2018

    Conference

    Conference2018 Annual American Control Conference, ACC 2018
    Abbreviated titleACC 2018
    CountryUnited States
    CityMilwauke
    Period27/06/1829/06/18

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  • Cite this

    Zhang, M., Saberi, A., & Stoorvogel, A. A. (2018). Semi-global state synchronization for continuous or discrete-time multi-agent systems subject to actuator saturation. In 2018 Annual American Control Conference, ACC 2018 (Vol. 2018-June, pp. 3380 - 3385). [8431706] Piscataway, NJ: IEEE. https://doi.org/10.23919/ACC.2018.8431706