IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v500y2025ics0096300325001420.html
   My bibliography  Save this article

Reset observer-based containment protocol via event-triggered strategy for multi-agent networks against aperiodic DoS attacks

Author

Listed:
  • Zhao, Dawei
  • Xiang, Wenkang
  • Song, Weizhao
  • Xu, Lijuan
  • Chen, Chuan
  • Wang, Zhen

Abstract

This article investigates the containment control problem for multi-agent systems (MASs) that are affected by aperiodic denial-of-service attacks using event-triggered strategies (ETSs) in a directed graph. To overcome the limitation of the Luenberger observer, which requires a trade-off between rise time and overshoot, we design a reset observer with improved error convergence performance and more reasonable reset conditions to estimate the states of the MASs. To conserve communication resources, we introduce an ETS into the reset observer-based containment controller. To avoid Zeno behavior, a trigger known as the “Zeno-free trigger” is introduced, which prevents Zeno behavior by setting a fixed triggering interval as the lower bound of the event-triggered interval. Finally, the effectiveness of the designed protocol is demonstrated through a case involving a formation of unmanned air vehicles (UAVs). By comparing the reset observer with the Luenberger observer, the superior performance of the reset observer is demonstrated.

Suggested Citation

  • Zhao, Dawei & Xiang, Wenkang & Song, Weizhao & Xu, Lijuan & Chen, Chuan & Wang, Zhen, 2025. "Reset observer-based containment protocol via event-triggered strategy for multi-agent networks against aperiodic DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 500(C).
  • Handle: RePEc:eee:apmaco:v:500:y:2025:i:c:s0096300325001420
    DOI: 10.1016/j.amc.2025.129415
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325001420
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129415?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Xu, Ziqiang & Li, Yun & Zhan, Xisheng & Yan, Huaicheng & Han, Yiyan, 2024. "Time-varying formation of uncertain nonlinear multi-agent systems via adaptive feedback control approach with event-triggered impulsive estimator," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    2. Wang, Xin & Yang, DongSheng & Li, Weihua & Qin, Jia, 2024. "Designing adaptive continuous event-triggered consensus protocol for nonlinear multi-agent systems with a nonautonomous leader," Applied Mathematics and Computation, Elsevier, vol. 479(C).
    3. Ma, Zhihan & Tang, Ze & Feng, Jianwen & Ding, Dong, 2024. "Distributed formation containment control for multi-agent systems via dynamic event-triggering communication mechanism," Applied Mathematics and Computation, Elsevier, vol. 482(C).
    4. Dong, Bolei & Yan, Liping & Xia, Yuanqing, 2024. "Event-based appointed-time cooperative formation for linear multiagent systems with actuator saturation," Applied Mathematics and Computation, Elsevier, vol. 477(C).
    5. Xiao, Shuyi & Dong, Jiuxiang, 2023. "Distributed output-feedback resilient fault-tolerant tracking control of uncertain heterogeneous linear MASs under directed topologies and DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 443(C).
    6. Zhu, Fanglai & Du, Wenqing, 2024. "Observer-based consensus of multi-agent systems under odd distributed impulsive control protocol," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    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. Li, Hongchao & Niu, Guowei & Chen, Yining, 2024. "Fixed-time consensus of leader-following multi-agent systems subject to failed follower: Reconstructed topology approach," Applied Mathematics and Computation, Elsevier, vol. 482(C).
    2. Li, Chaoyang & Zhai, Shidong & Zheng, Yuanshi, 2025. "Bounded consensus in second-order uncertain nonlinear multiagent systems: A distributed neural network control approach," Applied Mathematics and Computation, Elsevier, vol. 498(C).

    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:eee:apmaco:v:500:y:2025:i:c:s0096300325001420. 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.