具有竞争力的外围防御与炮塔和机动车辆

Shivam Bajaj, S. D. Bopardikar, Alexander Von Moll, E. Torng, D. Casbeer
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引用次数: 0

摘要

我们考虑了平面锥形环境中的周界防御问题,两个协同的异构防御者,即炮塔和移动车辆,试图防御同心周界以抵御移动入侵者。在任意时刻和位置,在环境周围释放任意数量的入侵者。释放后,它们以固定的速度向周边径向向内移动。防守队员的动作和接球能力各不相同。具体而言,炮塔的接合范围有限,只能在固定角速率的环境中转动(顺时针或逆时针),而车辆的捕获半径有限,可以以单位速度向任何方向移动。我们提出了一种解决这一周界防御问题的竞争分析方法,通过测量防御者面对任意输入的多个协同在线算法的性能,相对于预先拥有整个输入序列信息的最优离线算法。具体地说,我们在参数空间上建立了保证任何在线算法的有限竞争性的必要条件。然后,我们设计并分析了四种在线协作算法,并描述了它们具有有限竞争比的参数状态。特别地,我们的前两个算法在特定的参数状态下是1-竞争的,我们的第三个算法在不同的问题参数状态下表现出不同的竞争比,我们的第一个算法在具体的参数状态中是1.5-竞争的。最后,我们在参数空间中提供了多个数值图,以揭示对我们算法的相对性能的更多见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competitive perimeter defense with a turret and a mobile vehicle
We consider perimeter defense problem in a planar conical environment with two cooperative heterogeneous defenders, i.e., a turret and a mobile vehicle, that seek to defend a concentric perimeter against mobile intruders. Arbitrary numbers of intruders are released at the circumference of the environment at arbitrary time instants and locations. Upon release, they move radially inwards with fixed speed towards the perimeter. The defenders are heterogeneous in terms of their motion and capture capabilities. Specifically, the turret has a finite engagement range and can only turn (clockwise or anti-clockwise) in the environment with fixed angular rate whereas, the vehicle has a finite capture radius and can move in any direction with unit speed. We present a competitive analysis approach to this perimeter defense problem by measuring the performance of multiple cooperative online algorithms for the defenders against arbitrary inputs, relative to an optimal offline algorithm that has information about the entire input sequence in advance. Specifically, we establish necessary conditions on the parameter space to guarantee finite competitiveness of any online algorithm. We then design and analyze four cooperative online algorithms and characterize parameter regimes in which they have finite competitive ratios. In particular, our first two algorithms are 1-competitive in specific parameter regimes, our third algorithm exhibits different competitive ratios in different regimes of problem parameters, and our fourth algorithm is 1.5-competitive in specific parameter regimes. Finally, we provide multiple numerical plots in the parameter space to reveal additional insights into the relative performance of our algorithms.
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