On a hierarchical control strategy for multi-agent formation without reflection

Toshiharu Sugie, Brian D.O. Anderson, Zhiyong Sun, Huichao Dong

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

    16 Citations (Scopus)

    Abstract

    This paper considers a formation shape control problem for point agents in a two-dimensional ambient space, where the control is distributed, is based on achieving desired distances between nominated agent pairs, and avoids the possibility of reflection ambiguities. This has potential applications for large-scale multi-agent systems having simple information exchange structure. One solution to this type of problem, applicable to formations with just three or four agents, was recently given by considering a potential function which consists of both distance error and signed triangle area terms. However, it seems to be challenging to apply it to formations with more than four agents. This paper shows a hierarchical control strategy which can be applicable to any number of agents based on the above type of potential function and a formation shaping incorporating a grouping of equilateral triangles, so that all controlled distances are in fact the same. A key analytical result and some numerical results are shown to demonstrate the effectiveness of the proposed method.

    Original languageEnglish
    Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2023-2028
    Number of pages6
    ISBN (Electronic)9781538613955
    DOIs
    Publication statusPublished - 2 Jul 2018
    Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
    Duration: 17 Dec 201819 Dec 2018

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    Volume2018-December
    ISSN (Print)0743-1546
    ISSN (Electronic)2576-2370

    Conference

    Conference57th IEEE Conference on Decision and Control, CDC 2018
    Country/TerritoryUnited States
    CityMiami
    Period17/12/1819/12/18

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