Pursuit-evasion of an Evader by Multiple Pursuers

Alexander Von Moll, D. Casbeer, Eloy García, D. Milutinović
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引用次数: 26

Abstract

In this paper, we extend the well-studied results of the two-pursuer, single-evader differential game to any number of pursuers. The main objective of this investigation is to exploit the benefits of cooperation amongst the pursuers in order to reduce the capture time of the evader. Computational complexity is a chief concern as this problem would need to be solved in an online fashion, e.g., in the case of autonomous unmanned aerial vehicles. A new geometric approach to solving the game is introduced and analyzed, which changes the problem of optimizing over continuous domains to a discrete combinatoric optimization. While past efforts at solving multiple pursuer problems have suffered from the curse of dimensionality, the geometric algorithms put forth here are shown to be scalable. Categorization and removal of redundant pursuers is the primary means by which scalability is achieved. The solution of this problem serves as a stepping stone to more complex problems such as the M-pursuer N-evader differential game.
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追捕-多个追捕者对一个逃避者的逃避
本文将已有研究的双追者单逃者微分对策推广到任意追者数量。本研究的主要目的是利用追捕者之间合作的好处,以减少追捕逃逃者的时间。计算复杂性是一个主要问题,因为这个问题需要以在线方式解决,例如,在自主无人驾驶飞行器的情况下。本文提出并分析了一种求解该博弈的几何方法,将连续域上的优化问题转化为离散组合优化问题。虽然过去解决多追踪者问题的努力受到维度诅咒的困扰,但本文提出的几何算法具有可扩展性。分类和删除冗余跟踪器是实现可伸缩性的主要手段。这个问题的解决可以作为更复杂问题的垫脚石,如m -追求者n -逃避者微分对策。
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