Designing Monte Carlo Simulation and an Optimal Machine Learning to Optimize and Model Space Missions

This paper investigates applying artificial intelligence (AI) algorithms to attitude control system of satellites to optimally tune the controller using high performance computing. This methodology is applied to the Virtual Telescope for X-ray Observation mission, which is a precise formation of two...

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Bibliografiska uppgifter
Huvudupphovsmän: Reza Pirayeshshirazinezhad, Sandra G. Biedron, Jorge Alberto Diaz Cruz, Salvador Sosa Guitron, Manel Martinez-Ramon
Materialtyp: Artigo
Språk:Inglês
Publicerad: IEEE 2022-01-01
Serie:IEEE Access
Ämnen:
Virtual telescope for X-ray observation (VTXO)
space mission design
Monte-Carlo simulation
optimal control
machine learning
optimization
Länkar:https://ieeexplore.ieee.org/document/9762951/
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