IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i16p2692-d1729510.html
   My bibliography  Save this article

A Continuous-Time Distributed Optimization Algorithm for Multi-Agent Systems with Parametric Uncertainties over Unbalanced Digraphs

Author

Listed:
  • Qing Yang

    (School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    These authors contributed equally to this work.)

  • Caiqi Jiang

    (School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    These authors contributed equally to this work.)

Abstract

This paper investigates distributed optimization problems for multi-agent systems with parametric uncertainties over unbalanced directed communication networks. To settle this class of optimization problems, a continuous-time algorithm is proposed by integrating adaptive control techniques with an output feedback tracking protocol. By systematically employing Lyapunov stability theory, perturbed system analysis, and input-to-state stability theory, we rigorously establish the asymptotic convergence property of the proposed algorithm. A numerical simulation further demonstrates the effectiveness of the algorithm in computing the global optimal solution.

Suggested Citation

  • Qing Yang & Caiqi Jiang, 2025. "A Continuous-Time Distributed Optimization Algorithm for Multi-Agent Systems with Parametric Uncertainties over Unbalanced Digraphs," Mathematics, MDPI, vol. 13(16), pages 1-16, August.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:16:p:2692-:d:1729510
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/16/2692/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/16/2692/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yawei Shi & Liang Ran & Jialong Tang & Xiangzhao Wu, 2022. "Distributed Optimization Algorithm for Composite Optimization Problems with Non-Smooth Function," Mathematics, MDPI, vol. 10(17), pages 1-17, September.
    2. Jingyi Wang & Danqi Liu & Jianwen Feng & Yi Zhao, 2023. "Distributed Optimization Control for Heterogeneous Multiagent Systems under Directed Topologies," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    3. Yueqing Wang & Hao Zhang & Zhi Li, 2024. "Distributed Optimization Control for the System with Second-Order Dynamic," Mathematics, MDPI, vol. 12(21), pages 1-17, October.
    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. Ankang Zhang & Xiaoling Wang, 2023. "RBFNN-Based Distributed Coverage Control on an Unknown Region," Mathematics, MDPI, vol. 12(1), pages 1-18, December.
    2. Chengqian Yang & Shuang Wang & Shuang Zhang & Shiwei Lin & Bomin Huang, 2024. "A Class of Distributed Online Aggregative Optimization in Unknown Dynamic Environment," Mathematics, MDPI, vol. 12(16), pages 1-15, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jmathe:v:13:y:2025:i:16:p:2692-:d:1729510. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.