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- W4293093485 abstract "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." @default.
- W4293093485 created "2022-08-26" @default.
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- W4293093485 date "2022-07-13" @default.
- W4293093485 modified "2023-09-30" @default.
- W4293093485 title "Oracle for Guidance with Deep Neural Networks in Reusable Launch Vehicle Landing" @default.
- W4293093485 doi "https://doi.org/10.1109/iccad55197.2022.9854017" @default.
- W4293093485 hasPublicationYear "2022" @default.
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