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Coverage control in constant flow environments based on a mixed energy-time metric

机译:基于混合能量时间度量的恒流环境中的覆盖率控制

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摘要

In this paper, we study a multi-vehicle coverage control problem in constant flow environments while taking into account both energy consumption and traveling time. More specifically, the metric (called the mixed energy-time metric) is a weighted sum of the energy consumption and the traveling time for a vehicle to travel from one point to another in constant flows when using the minimum energy control, and the objective is to find vehicle locations that can minimize the expected mixed energy-time required for the set of vehicles to cover a region. We propose a gradient based control law which is calculated based on refined approximated Voronoi cells (induced by the mixed energy-time metric) and of which the convergence is proved via Hybrid Systems Theory. Simulations show that the refined gradient based control can achieve similar performance as the exact gradient based control.
机译:在本文中,我们研究了恒定流量环境中的多车辆覆盖控制问题,同时考虑了能耗和行驶时间。更具体地,度量(称为混合能量时间度量)是在使用最小能量控制时,能量消耗和车辆以恒定流量从一点到另一点以恒定流量行驶的行驶时间的加权总和,目的是寻找可以将一组车辆覆盖某个区域所需的预期混合能源时间最小化的车辆位置。我们提出了一种基于梯度的控制律,该律基于精化的近似Voronoi单元(由混合能量-时间度量诱导)计算得出,并且通过混合系统理论证明了其收敛性。仿真表明,改进的基于梯度的控制可以实现与基于精确梯度的控制类似的性能。

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