BriefGPT.xyz
Mar, 2022
时间最优、匀加速交会的神经表示
Neural representation of a time optimal, constant acceleration rendezvous
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Dario Izzo, Sebastien Origer
TL;DR
利用神经模型和数据增强技术,在深度学习框架下,实现低推力阶段的快速、准确太空交会的优化、值函数预测,实验结果表明模型在预测太空航行中的速度和时间上拥有高的精度。
Abstract
We train
neural models
to represent both the optimal policy (i.e. the optimal thrust direction) and the value function (i.e. the
time of flight
) for a time optimal, constant acceleration low-thrust
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