Modeling Irregular Small Bodies Gravity Field Via Extreme Learning Machines and Bayesian Optimization

Modeling Irregular Small Bodies Gravity Field Via Extreme Learning Machines and Bayesian Optimization

Close proximity operations around small bodies are extremely challenging due to their uncertain dynamical environment. Autonomous guidance and navigation around small bodies require fast and accurate modeling of the gravitational field for potential on-board computation. In this paper, we investigat...

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Bibliographic Details
Main Authors: Furfaro, Roberto, Barocco, Riccardo, Linares, Richard, Topputo, Francesco, Reddy, Vishnu, Simo, Jules, Le Corre, Lucille
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/134439

Internet

https://hdl.handle.net/1721.1/134439

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