系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (1): 278-289.doi: 10.12305/j.issn.1001-506X.2026.01.25

• 制导、导航与控制 • 上一篇    下一篇

多智能体系统周期动态事件触发二分一致性

李宗刚1,2,*, 邱进涛1,2, 宁小刚1,2, 陈引娟1,2   

  1. 1. 兰州交通大学机电工程学院,甘肃 兰州 730070
    2. 兰州交通大学机器人研究所,甘肃 兰州 730070
  • 收稿日期:2024-12-09 出版日期:2026-01-25 发布日期:2026-02-11
  • 通讯作者: 李宗刚
  • 作者简介:邱进涛(1998—),男,硕士研究生,主要研究方向为多智能体系统一致性、多机器人系统协同控制
    宁小刚(1991—),男,博士研究生,主要研究方向为多智能体系统一致性、多机器人系统协同控制
    陈引娟(1979—),女,讲师,硕士,主要研究方向为多智能体系统、多机器人系统协同控制

Dynamic periodic event-triggered bipartite consensus for multi-agent systems

Zonggang LI1,2,*, Jintao QIU1,2, Xiaogang NING1,2, Yinjuan CHEN1,2   

  1. 1. School of Mechanical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
    2. Robotics Institute,Lanzhou Jiaotong University,Lanzhou 730070,China
  • Received:2024-12-09 Online:2026-01-25 Published:2026-02-11
  • Contact: Zonggang LI

摘要:

针对一般线性多智能体系统资源受限条件下的领导-跟随二分一致性问题,基于改进周期动态事件触发机制设计了一种低通信成本的控制协议,其中个体控制器通过邻居及自身估计误差自适应调节其控制输入,同时通过引入指数项增大周期动态事件的触发阈值,然后利用Lyapunov方法得到了系统可解二分一致性的充分性条件。仿真结果表明,相较于周期动态事件触发机制,该机制在不影响系统的收敛速度的前提下,系统整体触发次数减少了49%;当领导-跟随误差小于±0.3时,触发次数减少了92.1%。由此可见,所提方法显著降低了多智能体之间的通信成本,对于大规模网络化系统一致性问题的物理实现具有重要现实意义。

关键词: 多智能体系统, 周期动态事件触发, 领导-跟随一致性, 二分一致性, 自适应控制

Abstract:

In view of the leader-following bipartite consensus problem in general linear multi-agent systems with resource constraints, a control protocol with low communication cost is proposed based on an improved dynamic periodic event-triggered mechanism, in which the individual controllers adaptively adjust the control input only depending on neighbors and its own estimation error, and the threshold of dynamic periodic event-triggered mechanism is increased by incorporating an exponential term. Then, a sufficient condition is derived by Lyapunov method for the system to solve the considered bipartite consensus problem. Simulation results show that compared with the dynamic periodic event-triggered mechanism, the proposed mechanism reduces the overall number of systems triggering events by 49% while maintaining the same convergence rate of the system. Meanwhile, the number of triggers is reduced by 92.1% as the leader-following error is less than ±0.3. In this sense, the proposed method significantly reduces the communication cost of multi-agent systems, which is important for the practical implementation of consensus problem in large-scale networked systems.

Key words: multi-agent systems, dynamic periodic event-triggered, leader-following consensus, bipartite consensus, adaptive control

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