Learning-Based Polynomial Approximation of Minimum-Time Low-Thrust Transfers to Geostationary Orbit
Author:
Affiliation:
1. School of Aerospace Engineering, Tsinghua University, Beijing, China
2. State Key Laboratory of Astronautic Dynamics, Xi'an Satellite Control Center, Xi'an, China
3. Beijing Institute of Aerospace Systems Engineering, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/7778228/09916115.pdf?arnumber=9916115
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multiphase Homotopic Approaches for Best Solution to Low-Thrust Geocentric Trajectories;IEEE Transactions on Aerospace and Electronic Systems;2024-08
2. Two-Dimensional Reachability of Low-Thrust Spacecraft;IEEE Transactions on Aerospace and Electronic Systems;2024-06
3. Minimum-Time Low-Thrust Geocentric Transfer with Longitude Estimation and Costate Prediction;Journal of Guidance, Control, and Dynamics;2024-01
4. Perturbed low-thrust geostationary orbit transfer guidance via polynomial costate estimation;Chinese Journal of Aeronautics;2023-10
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