Cooperative output regulation of a class of nonlinear uncertain multi-agent systems with unknown exosystem

Meichen Guo, Lu Liu*

*Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    3 Citations (Scopus)

    Abstract

    This paper considers the global robust cooperative output regulation problem of a class of nonlinear multi-agent systems with an unknown exosystem and unknown control directions. The arbitrarily large unknown parameters in the exosystem and local control coefficients pose the main challenges. To design an effective adaptive distributed controller for the proposed problem, the Nussbaum gain technique and a modified extended matching design method are integrated with the internal model principle. As a special case, the global robust leader-following consensus problem for a class of nonlinear multi-agent systems can be solved by the proposed controller.
    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE International Conference on Information and Automation (IEEE ICIA 2015)
    PublisherIEEE
    Pages1252-1257
    ISBN (Electronic)978-1-4673-9104-7
    DOIs
    Publication statusPublished - Aug 2015
    Event2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics - Yunnan, China
    Duration: 8 Aug 201510 Aug 2015

    Conference

    Conference2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
    PlaceChina
    CityYunnan
    Period8/08/1510/08/15

    Research Keywords

    • multi-agent systems
    • nonlinear systems
    • Output regulation

    Fingerprint

    Dive into the research topics of 'Cooperative output regulation of a class of nonlinear uncertain multi-agent systems with unknown exosystem'. Together they form a unique fingerprint.

    Cite this