IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v498y2025ics0096300325000967.html
   My bibliography  Save this article

Bounded consensus in second-order uncertain nonlinear multiagent systems: A distributed neural network control approach

Author

Listed:
  • Li, Chaoyang
  • Zhai, Shidong
  • Zheng, Yuanshi

Abstract

This paper explores the consensus issue in second-order generalized nonlinear multiagent systems (MAS) that involve uncertain nonlinear dynamics and external disturbances from the system. Suppose that the uncertain nonlinear terms can be approximated by neural networks with nonlinear residues. Through the incorporation of localized adaptive observer and disturbance observer for each agent, we propose a distributed adaptive protocol to promote bounded consensus (BC) in the network. Due to the use of saturated functions and adaptive gains in the protocol, the chattering phenomenon is weakened. Finally, two simulation examples verify the results of the fully distributed adaptive bounded consensus protocol.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:apmaco:v:498:y:2025:i:c:s0096300325000967
    DOI: 10.1016/j.amc.2025.129369
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325000967
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2025.129369?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. Peng, Yan & Ge, Chao & Yang, Hongjiu & Wang, Hong, 2023. "Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    2. Jin, Zengke & Wang, Chaoli & Liang, Dong & Zuo, Zongyu & Liang, Zhenying, 2024. "Fixed-time cooperative output regulation for second-order nonlinear multiagent systems with an unknown exosystem," Applied Mathematics and Computation, Elsevier, vol. 476(C).
    3. 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).
    4. Chen, Boxun & Tang, Ze & Feng, Jianwen, 2024. "Matrix measure-based event-triggered consensus of multi-agent systems with hybrid time delays," Applied Mathematics and Computation, Elsevier, vol. 463(C).
    5. Guo, Shiyu & Zhao, Xudong & Wang, Huanqing & Xu, Ning, 2023. "Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 456(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. Zhang, Liang & Liang, Jing & Feng, Zhiguang & Zhao, Ning, 2024. "Improved results of asynchronous mixed H∞ and passive control for discrete-time linear switched system with mode-dependent average dwell time," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    2. Li Li & XingJuan Fan & BoYuan Zhi & ShaoJun Li & Seyyed Amirreza Dabollahi, 2024. "Highly secure authentication and key agreement protocol for the internet of vehicles," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 73-88, September.
    3. 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).
    4. Guo, Ming-Juan & Li, Yuan-Xin, 2024. "Estimator-based adaptive prescribed performance cooperative bipartite containment control of nonlinear multiagent system against DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 470(C).
    5. Xiong, Shi-Xun & Xie, Xiang-Peng & Jiang, Guo-Ping & Chen, Meng-ting, 2024. "Prescribed time formation synchronous tracking of unmanned aerial vehicles with denial of service attacks," Applied Mathematics and Computation, Elsevier, vol. 474(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:498:y:2025:i:c:s0096300325000967. 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.