Formation scaling control using the stress matrix

Qingkai Yang, Ming Cao, Zhiyong Sun, Hao Fang, Jie Chen

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

    12 Citations (Scopus)

    Abstract

    This paper investigates the formation scaling control problem for multi-agent systems. In the existing literature, it is known that utilizing the formation's stress matrix, the scaling of the whole formation in IRd can be achieved by only controlling d pairs of agents whose position vectors span IRd, under the assumption that each of the d pairs of agents has the exact knowledge of the formation scaling parameter. In this paper, this stringent assumption is relaxed and we require only one pair of agents share the scaling information. We design a new class of distributed control laws by employing stresses and orthogonal projections such that the agents are steered to prescribed relative positions with respect to their neighbors. We show that if the corresponding stress matrix admits a generic universally rigid framework, the equilibrium of the closed-loop system is constrained only to the translation and scaling of the given configuration among all the possible affine transformations. Simulations are provided to validate the theoretical results.

    Original languageEnglish
    Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3449-3454
    Number of pages6
    ISBN (Electronic)9781509028733
    DOIs
    Publication statusPublished - 28 Jun 2017
    Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
    Duration: 12 Dec 201715 Dec 2017

    Publication series

    Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
    Volume2018-January

    Conference

    Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period12/12/1715/12/17

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