Online rescue method based on offline learning of dynamics knowledge for launch vehicles under thrust-drop fault-Reference-Cited by-同舟云学术

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Online rescue method based on offline learning of dynamics knowledge for launch vehicles under thrust-drop fault

Published:2022-01 Issue: Volume:114 Page:108140
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

He Xiao,Tan Shujun,Wu Zhigang^ORCID,Zhang Liyong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference44 articles.

1. Autonomous mission reconstruction during the ascending flight of launch vehicles under typical propulsion system failures;Song;Chin. J. Aeronaut.,2021

2. LM-5 launch failure investigation finished;Wen;Aerosp. China,2017

3. Next delta 4 rocket grounded by RL10 engine inquiry;Clark,2021

4. SpaceX falcon 9 lost an engine on the way up;Plait,2021

5. Closed loop guidance trade study for space launch system BLOCK-1B vehicle;Ahmad,2019

Cited by 2 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. Generalized sparse radial basis function networks for multi-classification problems;Applied Soft Computing;2024-03

2. Convex optimization for post-fault ascent trajectory replanning using auxiliary phases;Aerospace Science and Technology;2023-07

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