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Authors
Advisor(s)
Abstract(s)
Oracles are of paramount importance for Deep Neural Networks training. In this paper, an oracle developed for landing reusable launch vehicles is created from a linearizing feedback control law that can perform a prescribed landing trajectory tracking. The oracle is then used to train a Deep Neural Network that can be used as a guidance system for landing maneuvers. Verification is performed by Monte-Carlo.
Description
Keywords
Neural networks Oracles for training Feedback linearizing Reusable launch vehicle
Citation
IGREJA, J. M.; LEMOS, J. M. – Oracle for guidance with deep neural networks in reusable launch vehicle landing. Lisbon, Portugal: IEEE, 2022. ISBN 978-1-6654-9794-7. Pp. 1-6.
Publisher
IEEE