Fully-distributed autonomous scheduling for Earth-observing constellations
The coordination of multiple Earth-observing satellites presents a significant scheduling challenge. This paper introduces a fully distributed autonomous scheduling solution that utilizes a learning-based mechanism through an independent proximal policy optimization (IPPO) algorithm. Each satellite...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Tsinghua University
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/122517/1/122517.pdf http://psasir.upm.edu.my/id/eprint/122517/ https://link.springer.com/article/10.1007/s42064-024-0253-1?error=cookies_not_supported&code=aa1f23cc-5822-491c-91ff-11420588c72d |
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