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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 131

Special Issue Editor


E-Mail Website
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

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Published Papers

This special issue is now open for submission.
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