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Distributed Disturbance Observer-Based Containment Control of Multi-Agent Systems with Event-Triggered Communications

Author

Listed:
  • Lin Hu

    (School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu 610106, China)

  • Long Jian

    (College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
    Taiyuan Heavy Machinery Group Co. Ltd., Taiyuan 030027, China)

Abstract

This article investigates a class of multi-agent systems (MASs) with known dynamics external disturbances, where the communication graph is directed, and the followers have undirected connections. To eliminate the impacts of external disturbance, the technologies of disturbance observer-based control are introduced into the containment control problems. Additionally, to save communication costs and energy consumption, a distributed disturbance observer-based event-triggered controller is employed to achieve containment control and reject disturbance. Furthermore, designing the event-triggered function using an exponential function is beneficial for a time-dependent term while ensuring the exclusion of Zeno behavior. Finally, a numerical simulation is provided to validate the effectiveness of the theoretical analysis.

Suggested Citation

  • Lin Hu & Long Jian, 2024. "Distributed Disturbance Observer-Based Containment Control of Multi-Agent Systems with Event-Triggered Communications," Mathematics, MDPI, vol. 12(19), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:19:p:3117-:d:1492642
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    References listed on IDEAS

    as
    1. Long Jian & Yongfeng Lv & Rong Li & Liwei Kou & Gengwu Zhang, 2023. "Distributed Disturbance Observer-Based Containment Control of Multi-Agent Systems via an Event-Triggered Approach," Mathematics, MDPI, vol. 11(10), pages 1-12, May.
    2. Hu, Jiangping & Hong, Yiguang, 2007. "Leader-following coordination of multi-agent systems with coupling time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(2), pages 853-863.
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    Cited by:

    1. Zhen Liu & Yingying Wen & Bin Zhao & Chengdong Yang, 2024. "Adaptive Control for Multi-Agent Systems Governed by Fractional-Order Space-Varying Partial Integro-Differential Equations," Mathematics, MDPI, vol. 13(1), pages 1-17, December.

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