Rendezvous Control for a Double-Integrator Multiparticle System on Lorentz Group $SO(1,1)$

IF 5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Control of Network Systems Pub Date : 2024-07-23 DOI:10.1109/TCNS.2024.3432251
Xiaoyu Li;Lining Ru;Yuhu Wu
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Abstract

In this article, we study the rendezvous problem for a double-integrator multiparticle system under a proximity-based communication topology on the Lorentz group $SO(1,1)$. With the help of the Riemannian manifold structure on the Lorentz group $SO(1,1)$, we design a rendezvous controller for particles by using the covariant derivative, parallel transport, and Riemannian logarithm map on $SO(1,1)$. We further show that the proposed controller can guarantee that the distance between each particle converges to zero and maintain the connectivity of the communication topology if the initial network is connected. Several numerical simulations are provided to verify and illustrate the theoretical results.
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洛伦兹群$SO(1,1)$上双积分器多粒子系统的交会控制
本文研究了Lorentz群$SO(1,1)$上基于邻近的通信拓扑下双积分器多粒子系统的交会问题。利用Lorentz群$SO(1,1)$上的黎曼流形结构,利用$SO(1,1)$上的协变导数、平行输运和黎曼对数映射,设计了粒子的交会控制器。进一步证明,在初始网络连通的情况下,所提出的控制器能够保证每个粒子之间的距离收敛于零,并保持通信拓扑的连通性。数值模拟验证和说明了理论结果。
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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