基于仿生群运动的无人系统规划与控制:全体会议

C. L. P. Chen
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引用次数: 0

摘要

本文讨论了具有固定拓扑和切换拓扑的自组织系统的群控制。本文讨论了一种新型的基于距离的多智能体系统(MASs)定向编队leader-follower - relationship -invariable persistent formation (RIPF)的生成策略和运动控制规律。设计了一种求解刚性图能否生成持久队形的有效算法。从刚性图的性质出发,提出了一种从任意初始位置生成RIPF的算法。该通信拓扑是基于RIPF自动生成的。最后,利用选定的最小agent-movement RIPF,设计控制律,在给定agent间距离的情况下,将初始RIPF驱动到期望的RIPF。仿真结果表明,所提出的生成方法、控制律和下向树是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unmanned Systems Planning and Control based on Bionic Swarm Movement : Plenary Talk
This talk presents swarm control for self-organized system with fixed and switching topologies. The generation strategy, motion control law of a novel leader-follower relation-invariable persistent formation (RIPF), which is a kind of distance-based directed formation for multi-agent systems (MASs), will be discussed. An efficient algorithm is designed to find out if a persistent formation can be generated from a rigid graph. Derived from the properties of a rigid graph, an algorithm to generate a RIPF from any initial location is presented. The communication topology is automatically generated based on RIPF. With the selected minimum agent-movement RIPF, lastly, a control law is designed to drive this initial RIPF to the desired RIPF with given distances among agents. Simulation results show the proposed generative method, control law, and downward-tree are effective to realize the desired formation.
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