| 引用本文: | 郑维,傅乐平,王洪斌.对抗网络环境下的高阶多智能体事件驱动控制[J].控制理论与应用,2025,42(9):1875~1883.[点击复制] |
| ZHENG Wei,FU Le-ping,WANG Hong-bin.High-order multi-agent event-driven control in adversarial network environment[J].Control Theory & Applications,2025,42(9):1875~1883.[点击复制] |
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| 对抗网络环境下的高阶多智能体事件驱动控制 |
| High-order multi-agent event-driven control in adversarial network environment |
| 摘要点击 2197 全文点击 157 投稿时间：2022-09-16 修订日期：2025-02-10 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.20814 |
| 2025,42(9):1875-1883 |
| 中文关键词 多智能体系统 静态事件触发 自适应 固定时间 二部一致性控制 |
| 英文关键词 multi-agent system static event-triggered adaptive fixed-time bipartite consensus control |
| 基金项目 国家自然科学基金项目(62203379),河北省自然科学基金项目(F2021203083,F2021203104,QN2021138),河北省重点研发计划项目(21372001D), 河北省创新能力提升计划项目(22567619H),河北省杰出青年基金项目(F2021203033),燕山大学基础创新科研培育项目企业联合基金专项项目 (2024LGQL006)资助. |
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| 中文摘要 |
| 本文为了解决通讯拓扑图为结构平衡无向拓扑图的条件下,存在对抗网络的多智能体系统中的事件驱动
控制问题,通过状态反馈信息设计静态事件触发条件,同时结合自适应控制方法,提出一种基于静态事件触发机制
的分布式控制策略.该控制策略减少了控制器的更新频次,缓解了系统的通信压力.文中采用Lyapunov稳定性理论,
证明了在该控制策略下,存在输入非线性扰动的多智能体系统状态在固定时间内能够工作在二部一致状态,且系统
内不存在Zeno行为,同时也避免了由初始状态随机变化引发的系统收敛时间不确定的问题.最后,仿真结果表明该
分布式控制策略具有良好的控制性能. |
| 英文摘要 |
| In order to solve the problem of event-driven control in multi-agent systems with adversarial networks under
the condition that the communication topology is a structurally balanced undirected topology, this paper designs static
event-triggered conditions through state feedback information. At the same time, combined with adaptive control methods,
a distributed control strategy based on static event-triggered mechanism is proposed. The control strategy reduces the update
frequency of the controller and relieves the communication pressure of the system. Based on the Lyapunov stability theory,
it is proved that the state of the multi-agent system with input nonlinear disturbance can work in the bipartite consensus
state in a fixed time under the control strategy, and there is no Zeno behavior in the system. At the same time, it avoids the
problem of uncertain convergence time caused by the random change of initial state. Finally, the simulation results show
that the distributed control strategy has good control performance. |
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