Rigid Formation Control on a Sphere: A Heterogeneous System Approach.

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2024-07-01 DOI:10.1109/TCYB.2024.3409837
Sun-Ho Choi, Hyowon Seo
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Abstract

We consider a heterogeneous multiagent system for tracking multiple targets with a rigid formation on a unit sphere, where the targets and chasing agents are governed by single-and double-integrator models, respectively. To make asymptotic rendezvous between agents and their corresponding targets, we use an autonomous system consisting of attraction forces and velocity alignments. If the target's position, velocity, and acceleration information are available, we derive a multiagent system for complete rendezvous and obtain its exponential convergence result. If we have only the location and velocity information of the targets, we provide an autonomous system for practical rendezvous and the corresponding mathematical analysis. To prove the main results, we employ frame-rotation-structure decomposition for the double-integrator model and the geometric properties of a rigid formation on a sphere. We also provide numerical simulations to confirm our mathematical results and apply them to multiagent dynamics with a rigid formation that patrols the boundary line for a certain area on the sphere.

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球体上的刚性编队控制:异构系统方法
我们考虑的是一个异构多代理系统,用于在单位球面上以刚性编队跟踪多个目标,其中目标和追逐代理分别受单积分器模型和双积分器模型支配。为了使代理与其对应的目标渐近交会,我们使用了一个由吸引力和速度排列组成的自主系统。如果可以获得目标的位置、速度和加速度信息,我们就可以推导出一个完全会合的多代理系统,并得到其指数收敛结果。如果我们只有目标的位置和速度信息,我们将提供一个用于实际交会的自主系统和相应的数学分析。为了证明主要结果,我们采用了双积分器模型的框架-旋转-结构分解和球面上刚性编队的几何特性。我们还提供了数值模拟来证实我们的数学计算结果,并将其应用于多代理动力学中的刚性编队,该编队在球面上的一定区域内巡逻边界线。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
期刊最新文献
Novel Dynamic Event-Triggered Consensus Control of Multiagent Systems With Markovian Switching Topologies Under DoS Attacks. Cascading Failure in Cyber-Physical Systems: A Review on Failure Modeling and Vulnerability Analysis. Neuro-Adaptive-Based Fixed-Time Composite Learning Control for Manipulators With Given Transient Performance. Automated Design of Collaboration-Based Hybrid Metaheuristics. Rigid Formation Control on a Sphere: A Heterogeneous System Approach.
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