基于距离测量的多智能体系统分布式形状形成

Yubo Zhang, Hui Liu, Fangyuan Li
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引用次数: 0

摘要

在多智能体系统中,编队形状的唯一性是研究的一个难点。本文提出了一种不使用全局信息的多智能体系统的分布式算法。在该算法中,每个节点都拥有一个局部坐标系,没有共同的方向,相邻节点之间只有距离测量信息。由于不需要全局坐标系,因此减少了对代理配置的限制。该算法利用每个节点相对于其相邻节点的质心坐标来实现所需的形状。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance-only Measurements Based Distributed Shape Formation for Multi-Agent System
In the multi-agent system, the uniqueness of the formation shape is a difficult point in research. This paper proposes a distributed algorithm of the multi-agent system to shape predefined formation without using global information. In the proposed algorithm, each node holds a local coordinate system without a common orientation, and has only distance measurement information between its neighbors. Because no global coordinate system is needed, the restriction on the configuration of the agent is reduced. By using the barycentric coordinates of each node with respect to its neighbors, the proposed algorithm can achieve the desired shape. Simulation results have also been provided to verify the effectiveness of the algorithm.
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