Observer-based event-Triggered cloud predictive control for heterogeneous MASs with DoS attacks and delays

Xiuxia Yin, Zhiwei Gao, Yichuan Fu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    This article concerns observer-based consensus compensation control for heterogeneous networked multi-Agent systems under both networked Denial of Service (DoS) attacks and transmission delays. We propose a control method that combines the observer-based adaptive event-Triggered control and the observer-based cloud predictive control, which can not only reduce the network transmission burden, but also can compensate for the negative effects caused by DoS attacks and transmission delays completely. The consensus conditions, the observer and controller gain matrices and the event-Triggering parameter matrices are all simultaneously derived by using the linear matrix inequality method.

    Original languageEnglish
    Title of host publicationProceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages657-662
    Number of pages6
    ISBN (Electronic)9781728149646
    DOIs
    Publication statusPublished - 20 Jul 2020
    Event18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, United Kingdom
    Duration: 21 Jul 202023 Jul 2020

    Publication series

    NameIEEE International Conference on Industrial Informatics (INDIN)
    Volume2020-July
    ISSN (Print)1935-4576

    Conference

    Conference18th IEEE International Conference on Industrial Informatics, INDIN 2020
    Country/TerritoryUnited Kingdom
    CityVirtual, Warwick
    Period21/07/2023/07/20

    Keywords

    • cloud predictive control
    • consensus
    • delay
    • DoS attacks
    • event-Triggered scheme
    • observer

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