二阶多智能体系统的可扩展编队控制:一种事件触发的预定义时间策略

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-12-03 DOI:10.1109/TSMC.2024.3504819
Mengyang Xu;Xia Chen;Fei Hao
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引用次数: 0

摘要

研究了具有未知惯性的二阶多智能体系统的分布式编队跟踪控制问题。考虑了leader-follower纵向编队控制问题,其目标是使follower达到与leader相同的速度并保持期望的纵向间距。为了保证暂态时间在用户预设时间内,减少通信和计算资源,重点研究了事件触发的预定义时间控制问题。为了解决这个问题,我们设计了一个基于节点的事件触发控制器,其中耦合权基于自适应机制更新。在此基础上,考虑状态变换,通过分析变换状态的预定义时间稳定性,证明了控制器的预定义时间纵向形和有界性。需要注意的是,通过自适应更新机制,控制参数不依赖于拉普拉斯矩阵的信息和未知惯性的界。因此,对于某些代理离开或加入该队列的情况,该队列是可伸缩的。此外,为了避免在agent加入或离开时手动更新期望间距,我们提出了一种基于分布式资源分配算法的全分布式事件触发的预定义时间期望间距决策算法。将所提出的井距决策算法与控制器相结合,使纵向地层控制更具可扩展性、省时节能。
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Scalable Formation Control for Second-Order Multiagent Systems: An Event-Triggered Predefined-Time Strategy
This article investigates the problem of distributed formation tracking control for second-order multiagent systems with unknown inertias. The leader-follower longitudinal formation control is considered and the target is to make followers achieve the same speed with the leader and maintain a desired longitudinal spacing. To make sure that the transient time is within user’s preset time and the communication and computation resources are reduced, we focus on the event-triggered predefined-time control problem. To solve the problem, we design a node-based event-triggered controller in which coupling weights are updated based on an adaptive mechanism. Moreover, a state transformation is considered, and by analyzing the predefined-time stability of the transformed state, both the predefined-time longitudinal formation and the boundedness of controller are proved. Note that, with the adaptive updating mechanism, the control parameters do not depend on the information of Laplacian matrix and the bounds of unknown inertias. Thus, the formation is scalable for the case where some agents leave or join in the formation. Furthermore, to avoid updating the desired spacing manually when agents join or leave, we propose a fully distributed event-triggered predefined-time desired spacing decision algorithm based on distributed resource allocation algorithm. With the combination of the proposed spacing decision algorithm and controller, the longitudinal formation control is more scalable, time-saving and energy-saving.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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Table of Contents Table of Contents IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors IEEE Systems, Man, and Cybernetics Society Information
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