Application of Machine Learning in Space Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 85

Special Issue Editor


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Guest Editor
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: spacecraft system design; mission schedule; cooperative control for space complex cluster system

Special Issue Information

Dear Colleagues,

Completing complex missions in orbit intelligently and automatically is the main developing trend in space engineering. The combination of machine learning and space engineering is one of the key technologies to solve the issue above. From the subsystem level to the whole satellite system, to formation missions, and to constellation missions, especially for the mega LEO satellite network, machine learning algorithms have presented some advantages when facing uncertain space environments. Machine learning in space engineering will bring a powerful approach to solving complex problems and making decisions. Meanwhile, new challenges and issues have also emerged to attract more and more attention.  

Dr. Zhongcheng Mu
Guest Editor

Manuscript Submission Information

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Keywords

  • machine learning
  • space engineering
  • autonomous operation in orbit
  • intelligent decision

Published Papers

This special issue is now open for submission.
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