引用本文:周林娜,叶红梅,马磊,王国庆,张莹,赵伟,杨春雨.欺骗攻击下异构多智能体的编队跟踪异步脉冲控制[J].控制理论与应用,2025,42(7):1417~1425.[点击复制]
ZHOU Lin-na,YE Hong-mei,MA Lei,WANG Guo-qing,ZHANG Ying,ZHAO Wei,YANG Chun-yu.Asynchronous impulsive formation tracking control for the heterogeneous multi-agents under deception attacks[J].Control Theory & Applications,2025,42(7):1417~1425.[点击复制]
欺骗攻击下异构多智能体的编队跟踪异步脉冲控制
Asynchronous impulsive formation tracking control for the heterogeneous multi-agents under deception attacks
摘要点击 3516  全文点击 256  投稿时间:2023-07-01  修订日期:2025-05-23
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DOI编号  10.7641/CTA.2024.30456
  2025,42(7):1417-1425
中文关键词  异构多智能体系统  异步脉冲控制  欺骗攻击  分布式编队控制器
英文关键词  heterogeneous multi-agents system  asynchronous impulsive control  deception attacks  distributed formation controller
基金项目  国家自然科学基金项目(62073327, 62203448, 62273350, 62373362, 62373361), 中国博士后基金面上项目(2023M732968), 中国矿业大学第十一 批校级优秀青年骨干教师培养项目资助.
作者单位E-mail
周林娜 中国矿业大学 信息与控制工程学院 chunyuyang@cumt.edu.cn 
叶红梅 中国矿业大学 信息与控制工程学院  
马磊 中国矿业大学 信息与控制工程学院  
王国庆 中国矿业大学 信息与控制工程学院  
张莹 中国矿业大学 信息与控制工程学院  
赵伟 江苏自动化研究所  
杨春雨* 中国矿业大学 信息与控制工程学院 chunyuyang@cumt.edu.cn 
中文摘要
      针对异构多智能体编队中的网络通信不可靠问题, 设计一种基于攻击信号补偿器的弹性分布式编队控制 器. 首先, 构造一种基于异步脉冲通信的攻击信号补偿器, 各智能体通过异步独立的补偿器与邻居进行信息交互, 实时估计领导者信息、补偿欺骗攻击造成的不良影响, 并且有效地提高通信资源利用率. 通过将补偿信号引入编队 控制器, 使系统在受到欺骗攻击的情况下仍然能保证跟踪性能. 然后, 基于跟随者状态信息、补偿器补偿信息和编 队形状信息, 构造一种新的弹性分布式编队控制器. 给出分布式编队控制器的设计方法, 并证明编队跟踪误差动态 的一致有界性. 最后, 通过仿真验证所设计的分布式编队控制器的有效性.
英文摘要
      To overcome the difficulties associated with unreliable networks for heterogeneous multi-agent systems, a novel distributed time-varying formation tracking control approach based on the attack signal compensator is designed in this paper. Firstly, a special signal attack compensator based on asynchronous impulse communication is proposed, allowing each agent to interact with its neighbor through asynchronous independent compensators to estimate the leaders’ information in real-time, compensate for the adverse effects of deception attacks and effectively improve communication resource utilization. The proposed formation controller can guarantee tracking performance despite the deception attack by incorporating the compensation signal. The followers’ states, compensator compensation, and formation shape are subsequently employed to formulate a novel resilient distributed formation controller. Moreover, the proposed distributed formation controller design criteria and an analysis of the dynamics of the formation tracking error are both involved. Finally, simulation serves to verify the viability of the proposed distributed formation controller.