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Rapid Coverage Control with Multi-agent Systems Based on K-Means Algorithm

机译:基于K-MEAS算法的多代理系统快速覆盖控制

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This paper presents a strategy for covering particles in a specific region with multi-agent systems. Previous strategies that study on partitioning regions, have struggled to cover complex regions. The proposed approach in this paper, based on k-Means algorithm, can partition particles in some complex regions and calculate the locations of agents which have limited range of detection. And then the agents can cooperate to monitor the whole particles. Simulation results show that the particles in different regions can be covered well by multi-agent systems based on k-Means algorithm.
机译:本文介绍了一种覆盖具有多助理系统的特定区域中的颗粒的策略。以前关于分区区域的策略,努力涵盖复杂的地区。本文提出的方法,基于K-Means算法,可以在一些复杂区域分隔粒子并计算具有有限的检测范围的药剂的位置。然后,药剂可以配合监察整个颗粒。仿真结果表明,基于k均值算法,通过多种子体系统可以很好地涵盖不同区域中的颗粒。

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