A reinforcement learning approach for adaptive tracking control of a reusable rocket model in a landing scenario

Author:

Costa Bertinho A.ORCID,Parente Francisco L.ORCID,Belfo JoãoORCID,Somma NicolaORCID,Rosa PauloORCID,Igreja José M.ORCID,Belhadj JorisORCID,Lemos João M.ORCID

Funder

European Space Agency

Fundação para a Ciência e a Tecnologia

ESA

Publisher

Elsevier BV

Reference41 articles.

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3. A survey on artificial intelligence trends in spacecraft guidance dynamics and control;Izzo;Astrodynamics,2019

4. M. Dumke, S. Theil, Auto-Coded Flight Software for the GNC VTVL Demonstrator EAGLE, in: 8th European Conf. for Aeronautics and Space Sciences Madrid, Spain, 1-4 July, 2019, 2019.

5. B. Rmili, D. Monchaux, O. Bosineau, J. Hassin, S. Querry, S. Besson, G. Poirey, R. Boré, I. Hamada, H. Amrouchi, J.F.M. Barreau, N. Mercadié, T. Labois, D. Grinco, FROG, a Rocket for GNC demonstrations: Firsts flights attempts of the FROG turbojet version and preparation of the future mono-propellant rocket engine, in: 8th European Conf. for Aeronautics and Space Sciences Madrid, Spain, 1-4 July, 2019, 2019.

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