| 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 | 88 | 2019 |
| On the human taste perception: Molecular-level understanding empowered by computational methods L Pallante, M Malavolta, G Grasso, A Korfiati, S Mavroudi, B Mavkov, ... Trends in Food Science & Technology 116, 445-459, 2021 | 46 | 2021 |
| Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller B Maljaars, F Felici, TC Blanken, C Galperti, O Sauter, MR de Baar, ... Nuclear Fusion 57 (12), 126063, 2017 | 39 | 2017 |
| Fragmented blind docking: a novel protein-ligand binding prediction protocol G Grasso, A Di Gregorio, B Mavkov, D Piga, GFDU Labate, A Danani, ... JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021 | 32* | 2021 |
| A survey on computational taste predictors M Malavolta, L Pallante, B Mavkov, F Stojceski, G Grasso, A Korfiati, ... European Food Research and Technology 248, 2215–2235, 2022 | 30 | 2022 |
| Experimental validation of a Lyapunov-based controller for the plasma safety factor and plasma pressure in the TCV tokamak B Mavkov, E Witrant, C Prieur, B Maljaars, F Felici, O Sauter Nuclear Fusion 58 (5), 056011, 2018 | 28 | 2018 |
| Integrated Neural Networks for Nonlinear Continuous-Time System Identification B Mavkov, M Forgione, D Piga IEEE Control Systems Letters 4 (4), 851 - 856, 2020 | 23 | 2020 |
| Distributed control of coupled inhomogeneous diffusion in tokamak plasmas B Mavkov, E Witrant, C Prieur IEEE Transactions on Control Systems Technology 27 (1), 443-450, 2019 | 13 | 2019 |
| Multi-experiment state-space identification of coupled magnetic and kinetic parameters in tokamak plasmas B Mavkov, E Witrant, C Prieur, D Moreau Control Engineering Practice 60, 28-38, 2017 | 11 | 2017 |
| Direct identification of continuous-time LPV state-space models via an integral architecture M Mejari, B Mavkov, M Forgione, D Piga Automatica 142, 110407, 2022 | 9 | 2022 |
| Real-time control of neoclassical tearing modes and its integration with multiple controllers in the TCV Tokamak M Kong, O Sauter, TC Blanken, F Felici, C Galperti, TP Goodman, ... 44th EPS Conference on Plasma Physics, 2017 | 9 | 2017 |
| Fragmented blind docking: a novel protein–ligand binding prediction protocol G Grassoa, A Di Gregorio, B Mavkov, D Piga, GFD Labate, A Danani, ... Journal of Biomolecular Structure and Dynamics, 1-10, 2021 | 5 | 2021 |
| Enhancing deep reinforcement learning with integral action to control tokamak safety factor A Mattioni, S Zoboli, B Mavkov, D Astolfi, V Andrieu, E Witrant, P Frasca, ... Fusion Engineering and Design 196, 114008, 2023 | 4 | 2023 |
| Control of coupled transport in tokamak plasmas B Mavkov Université Grenoble Alpes, 2017 | 4 | 2017 |
| Improving a proportional integral controller with reinforcement learning on a throttle valve benchmark P Daoudi, B Mavkov, B Robu, C Prieur, E Witrant, M Barlier, L Dos Santos 2024 IEEE Conference on Control Technology and Applications (CCTA), 217-222, 2024 | 3 | 2024 |
| Modeling and control of pipeline networks supplied by automated irrigation channels B Mavkov, T Strecker, AC Zecchin, M Cantoni Journal of Irrigation and Drainage Engineering 148 (6), 04022015, 2022 | 3 | 2022 |
| Data-driven statistical analysis for discharge position prediction on Wire EDM S Kronauer, B Mavkov, M Mejari, D Piga, F Jaques, R d'Amario, ... Procedia CIRP 113, 143-148, 2022 | 2 | 2022 |
| Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation N Bongiovanni, B Mavkov, R Martins, G Allibert 2024 American Control Conference (ACC), 2024 | 1 | 2024 |
| An integral architecture for identification of continuous-time state-space LPV models M Mejari, B Mavkov, M Forgione, D Piga IFAC-PapersOnLine 54 (8), 7-12, 2021 | 1 | 2021 |
| Distributed control of coupled inhomogeneous diffusion in tokamak plasmas (full version) B Mavkov, E Witrant, C Prieur HAL, Tech. Rep. hal-01545010, 2017.[Online]. Available: http://hal …, 2017 | 1 | 2017 |
Dario PigaSenior Researcher at IDSIA - Dalle Molle Institute for ArtificiaI Intelligence, SUPSI-USI, LuganoE-mail megerősítve itt: supsi.ch