Multi-Agent Flocking Formation with Orientating and Rotating Maneuverability

Linlin Chen, Jun Zhou
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Abstract

Lately, a matrix-weighted flocking control approach for second-order particle multi-agents is contrived by generalizing the Olfati-Saber flocking strategies, which can produce maneuverable (or time-varying) multi-agent formation with various specifications, such as formation scaling, dimension confining and topology setting. In this paper, the generalized Olfati-Saber flocking algorithms are further equipped with an additional term involving constant/time-varying weighting matrices for orientation and rotation maneuverability in flocking lattices. Technical and algorithmic details about orientating and rotating matrices are defined and examined; in particular, probable rotation deficiency in the suggested approach is discussed carefully as well. dozens of numerical simulations in 2D multi-agent systems are illustrated through choosing the weighting matrices as appropriately.
具有定向和旋转可操作性的多智能体群集
近年来,通过对Olfati-Saber群集策略的推广,提出了一种二阶粒子多智能体的矩阵加权群集控制方法,该方法可以产生具有各种规格(如队列缩放、尺寸限制和拓扑设置)的可操作(或时变)多智能体队列。本文进一步为广义olfat - saber群集算法增加了一项,该项涉及定时变加权矩阵,用于确定群集格中的方向和旋转可操作性。定义和检查了关于定向和旋转矩阵的技术和算法细节;特别地,还仔细讨论了所建议的方法中可能存在的旋转缺陷。通过选择适当的权重矩阵,对二维多智能体系统的数十个数值模拟进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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