IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v404y2021ics0096300321001284.html
   My bibliography  Save this article

An l2−l∞ distributed containment coordination tracking of heterogeneous multi-unmanned systems with switching directed topology

Author

Listed:
  • Xiong, Shixun
  • Wu, Qingxian
  • Wang, Yuhui
  • Chen, Mou

Abstract

This paper studies a discrete-time formation containment tracking control problem of a linear heterogeneous multi-unmanned system under the leader-follower formation with switching directed topology and unknown external disturbance. To solve the containment tracking control of the heterogeneous multi-unmanned system with switching directed topology, distributed containment control strategies are presented in this paper. First, according to practical situation, the discrete-time heterogeneous multi-unmanned system composed of unmanned aerial vehicles and unmanned ground vehicle is given. Then, by using switching directed topology, the distributed state feedback control strategies are proposed for the leaders and followers. An l2−l∞ performance index is introduced to guarantee the tracking performance of the heterogeneous multi-unmanned system under the unknown energy-bounded disturbance. The controller gains of the leaders and followers are solved by a set of linear matrix inequalities (LMIs). Finally, simulation results demonstrate the effectiveness of the designed control strategies.

Suggested Citation

  • Xiong, Shixun & Wu, Qingxian & Wang, Yuhui & Chen, Mou, 2021. "An l2−l∞ distributed containment coordination tracking of heterogeneous multi-unmanned systems with switching directed topology," Applied Mathematics and Computation, Elsevier, vol. 404(C).
  • Handle: RePEc:eee:apmaco:v:404:y:2021:i:c:s0096300321001284
    DOI: 10.1016/j.amc.2021.126080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300321001284
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2021.126080?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xuxi Zhang & Xianping Liu, 2017. "Consensus of linear multi-agent systems with exogenous disturbance generated from heterogeneous exosystems," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(15), pages 3147-3159, November.
    2. Xiong, Shixun & Chen, Mou & Wu, Qianxian, 2019. "Predictive control for networked switch flight system with packet dropout," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 444-459.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhai, Ganghui & Tian, Engang & Luo, Yuqiang & Liang, Dong, 2024. "Data-driven optimal output regulation for unknown linear discrete-time systems based on parameterization approach," Applied Mathematics and Computation, Elsevier, vol. 461(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:404:y:2021:i:c:s0096300321001284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.