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基于动态事件触发通信协议的多智能体系统自适应可靠控制

范泉涌 张乃宗 唐勇 许斌

范泉涌, 张乃宗, 唐勇, 许斌. 基于动态事件触发通信协议的多智能体系统自适应可靠控制. 自动化学报, 2024, 50(5): 1−13 doi: 10.16383/j.aas.c230766
引用本文: 范泉涌, 张乃宗, 唐勇, 许斌. 基于动态事件触发通信协议的多智能体系统自适应可靠控制. 自动化学报, 2024, 50(5): 1−13 doi: 10.16383/j.aas.c230766
Fan Quan-Yong, Zhang Nai-Zong, Tang Yong, Xu Bin. Adaptive reliable control of multi-agent systems based on dynamic event-triggered communication protocol. Acta Automatica Sinica, 2024, 50(5): 1−13 doi: 10.16383/j.aas.c230766
Citation: Fan Quan-Yong, Zhang Nai-Zong, Tang Yong, Xu Bin. Adaptive reliable control of multi-agent systems based on dynamic event-triggered communication protocol. Acta Automatica Sinica, 2024, 50(5): 1−13 doi: 10.16383/j.aas.c230766

基于动态事件触发通信协议的多智能体系统自适应可靠控制

doi: 10.16383/j.aas.c230766
基金项目: 国家自然科学基金(61933010, U23A20337), 陕西省秦创原“科学家+工程师”队伍建设项目(2022KXJ-92), 陕西省重点研发计划(2021GXLH-01-13), 陕西省自然科学基础研究计划(2024JC-YBMS-469)资助
详细信息
    作者简介:

    范泉涌:西北工业大学自动化学院副教授. 主要研究方向为非线性系统智能控制与可靠控制, 无人系统强化学习. E-mail: fanquanyong@nwpu.edu.cn

    张乃宗:西北工业大学自动化学院硕士研究生. 2021 年获得中国矿业大学学士学位. 主要研究方向为事件触发控制, 多智能体系统的容错控制. E-mail: naizongzhang@mail.nwpu.edu.cn

    唐勇:中航(成都)无人机系统股份有限公司总设计师. 主要研究方向为无人系统设计. E-mail: tangyonguas@126.com

    许斌:西北工业大学教授. 2006年获得西北工业大学学士学位, 2012年获得清华大学博士学位. 主要研究方向为智能控制, 自适应控制及其应用. 本文通讯作者. E-mail: smileface.binxu@gmail.com

Adaptive Reliable Control of Multi-agent Systems Based on Dynamic Event-triggered Communication Protocol

Funds: Supported by National Natural Science Foundation of China (61933010, U23A20337), Qinchuangyuan “Scientist + Engineer” Team Construction Program of Shaanxi Province (2022KXJ-92), Key Research and Development Program of Shaanxi Province (2021GXLH-01-13), and Natural Science Basic Research Program of Shaanxi Province (2024JC-YBMS-469)
More Information
    Author Bio:

    FAN Quan-Yong Associate professor at the School of Automation, Northwestern Polytechnical University. His research interest covers intelligent control and reliable control of nonlinear systems and reinforcement learning for unmanned systems

    ZHANG Nai-Zong Master student at the School of Automation, Northwestern Polytechnical University. He received his bachelor degree from China University of Mining and Technology in 2021. His research interest covers event-triggered control and fault-tolerant control of multi-agent systems

    TANG Yong Chief designer of AVIC (Chengdu) UAS Co., Ltd. His main research interest is design of unmanned systems

    XU Bin Professor at Northwestern Polytechnical University. He received his bachelor degree from Northwestern Polytechnical University in 2006, and received his Ph.D. degree from Tsinghua University in 2012. His research interest covers intelligent control and adaptive control with applications. Corresponding author of this paper

  • 摘要: 针对多智能体系统中邻居节点间通信资源受限的情况, 研究基于动态事件触发通信协议的多智能体系统自适应可靠一致性控制问题. 首先, 设计一种基于自适应参数估计技术的容错控制策略, 来应对未知执行器故障. 其次, 提出一种新型动态事件触发函数, 通过增加具有自适应调节能力的动态变量来延长事件触发间隔. 在此基础上, 证明在智能体之间非连续通信的情况下, 所提方法仅依靠智能体与邻居在触发时刻的交互信息就可以确保一致性误差的收敛. 此外, 从理论上说明智能体间的事件触发通信不存在芝诺现象. 最后, 针对无人船编队系统开展仿真, 结果能够说明所提自适应事件触发可靠控制方法的有效性.
  • 图  1  网络通信拓扑

    Fig.  1  Network communication topology

    图  2  纵荡位置

    Fig.  2  Surge position

    图  7  偏航速率

    Fig.  7  Yaw rate

    图  8  无人船集群状态

    Fig.  8  States of unmanned ship cluster

    图  3  横荡位置

    Fig.  3  Sway position

    图  4  偏航角

    Fig.  4  Yaw angle

    图  5  纵荡速度

    Fig.  5  Surge velocity

    图  6  横荡速度

    Fig.  6  Sway velocity

    图  9  基于触发通信协议(8)的触发时刻和触发间隔, (a)、(b)、(c)、(d) 和(e)分别表示智能体1、智能体2、智能体3、智能体4和智能体5的触发时刻和触发间隔

    Fig.  9  Triggering moment and triggering interval for each agent by communication protocol (8), where (a), (b), (c), (d) and (e) indicate the triggering moment and triggering interval of the 1-th agent, 2-th agent, 3-th agent, 4-th agent and 5-th agent respectively

    图  10  基于文献[25]的触发时刻和触发间隔, (a)、(b)、(c)、(d) 和(e)分别表示智能体1、智能体2、智能体3、智能体4和智能体5的触发时刻和触发间隔

    Fig.  10  Triggering moment and triggering interval for each agent in reference [25], where (a), (b), (c), (d) and (e) indicate the triggering moment and triggering interval of the 1-th agent, 2-th agent, 3-th agent, 4-th agent and 5-th agent respectively

    图  11  自适应参数$ \hat{\rho}_{ij} $

    Fig.  11  Adaptive parameter $ \hat{\rho}_{ij} $

    图  12  动态变量$ \eta_i(t) $

    Fig.  12  Dynamic variable $ \eta_i(t) $

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  • 收稿日期:  2023-12-07
  • 录用日期:  2024-03-21
  • 网络出版日期:  2024-04-24

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