Physics-guided neural networks for the robust control of drones
Parole chiave DRONES, MACHINE LEARNING, ROBOTICS, UAV
Riferimenti ALESSANDRO RIZZO
Tipo tesi EXPERIMENTAL AND SIMULATION
Descrizione The thesis aims at developing robust control algorithms for unmanned aerial vehicles, based on or complemented by machine learning techniques. In particular, we aim at using Physics-guided neural networks, toward gaining more interpretability of the control action and, possibly, some guarantee on the control performance. A review of the main concepts surrounding this thesis is attached.
Vedi anche 2020_jirs_gu_annsurvey.pdf
Scadenza validita proposta 21/09/2021 PROPONI LA TUA CANDIDATURA