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基于遍历性的协同多智能体区域覆盖的势场方法。

Ergodicity-Based Cooperative Multiagent Area Coverage via a Potential Field.

出版信息

IEEE Trans Cybern. 2017 Aug;47(8):1983-1993. doi: 10.1109/TCYB.2016.2634400. Epub 2016 Dec 16.

Abstract

This paper considers a problem of area coverage where the objective is to achieve given coverage density by use of multiple mobile agents. We present an ergodicity-based coverage algorithm which enables a centralized feedback control for multiagent system based on radial basis function (RBF) representation of the ergodicity problem and a solution of an appropriately designed stationary heat equation for the potential field. The heat equation uses a source term that depends on the difference between the given goal density distribution and the current coverage density (time average of RBFs along trajectories). The agent movement is directed using the gradient of that potential field. The heat equation driven area coverage has a built-in cooperative behavior of agents which includes collision avoidance and coverage coordination. The algorithm is robust, scalable, and computationally inexpensive.

摘要

本文考虑了一个区域覆盖问题,目标是通过使用多个移动代理来实现给定的覆盖密度。我们提出了一种基于遍历性的覆盖算法,该算法能够通过遍历性问题的径向基函数(RBF)表示和适当设计的势场静止热方程的解,对多代理系统进行集中反馈控制。热方程使用依赖于给定目标密度分布和当前覆盖密度之间差异的源项(沿轨迹的 RBF 的时间平均值)。使用该势场的梯度来指导代理的运动。由热方程驱动的区域覆盖具有内置的代理协作行为,包括避免碰撞和覆盖协调。该算法具有鲁棒性、可扩展性和计算成本低的特点。

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