Follow
Federico Pesamosca
Title
Cited by
Cited by
Year
Magnetic control of tokamak plasmas through deep reinforcement learning
J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ...
Nature 602 (7897), 414-419, 2022
6442022
Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond
S Coda, M Agostini, R Albanese, S Alberti, E Alessi, S Allan, J Allcock, ...
Nuclear Fusion 59 (11), 112023, 2019
782019
Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade
B Labit, T Eich, GF Harrer, E Wolfrum, M Bernert, MG Dunne, L Frassinetti, ...
Nuclear fusion 59 (8), 086020, 2019
542019
Control of neoclassical tearing modes and integrated multi-actuator plasma control on TCV
M Kong, TC Blanken, F Felici, C Galperti, E Maljaars, O Sauter, T Vu, ...
Nuclear Fusion 59 (7), 076035, 2019
312019
Improved Plasma Vertical Position Control on TCV Using Model-Based Optimized Controller Synthesis
F Pesamosca, F Felici, S Coda, C Galperti, TCV Team
Fusion Science and Technology 78 (6), 427-448, 2022
92022
Model-based optimization of magnetic control in the TCV tokamak: design and experiments
F Pesamosca
EPFL, 2021
12021
Improved vertical control by optimal actuator selection on TCV
F Pesamosca, F Felici, S Coda, C Galperti, TCV Team
APS Division of Plasma Physics Meeting Abstracts 2020, NP15. 003, 2020
2020
Decoupling shape and position control on TCV
F Pesamosca, F Felici, S Coda
APS Division of Plasma Physics Meeting Abstracts 2019, GP10. 098, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–8