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 February 2026 | Viewed by 990
Special Issue Editor
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
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Keywords
- machine learning
- space engineering
- autonomous operation in orbit
- intelligent decision
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