Piecewise affine regression via recursive multiple least squares and multicategory discrimination V Breschi, D Piga, A Bemporad Automatica 73, 155-162, 2016 | 95 | 2016 |
Fitting jump models A Bemporad, V Breschi, D Piga, SP Boyd Automatica 96, 11-21, 2018 | 65 | 2018 |
Data-driven predictive control in a stochastic setting: A unified framework V Breschi, A Chiuso, S Formentin Automatica 152, 110961, 2023 | 36 | 2023 |
Direct data-driven model-reference control with Lyapunov stability guarantees V Breschi, C De Persis, S Formentin, P Tesi 2021 60th IEEE conference on decision and control (CDC), 1456-1461, 2021 | 26 | 2021 |
Direct data‐driven design of switching controllers V Breschi, S Formentin International Journal of Robust and Nonlinear Control 30 (15), 6042-6072, 2020 | 23 | 2020 |
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination V Breschi, A Bemporad, D Piga 2016 European Control Conference (ECC), 2632-2637, 2016 | 20 | 2016 |
Model structure selection for switched NARX system identification: a randomized approach F Bianchi, V Breschi, D Piga, L Piroddi Automatica 125, 109415, 2021 | 19 | 2021 |
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments V Breschi, S Formentin, G Rallo, M Corno, SM Savaresi Automatica 122, 109237, 2020 | 13 | 2020 |
Estimation of jump Box–Jenkins models D Piga, V Breschi, A Bemporad Automatica 120, 109126, 2020 | 12 | 2020 |
Handbook of linear data-driven predictive control: Theory, implementation and design PCN Verheijen, V Breschi, M Lazar Annual Reviews in Control 56, 100914, 2023 | 11 | 2023 |
Uncertainty-aware data-driven predictive control in a stochastic setting V Breschi, M Fabris, S Formentin, A Chiuso IFAC-PapersOnLine 56 (2), 10083-10088, 2023 | 11 | 2023 |
On the design of regularized explicit predictive controllers from input-output data V Breschi, A Sassella, S Formentin IEEE Transactions on Automatic Control, 2022 | 9 | 2022 |
Fostering the mass adoption of electric vehicles: A network-based approach V Breschi, C Ravazzi, S Strada, F Dabbene, M Tanelli IEEE Transactions on Control of Network Systems 9 (4), 1666-1678, 2022 | 9 | 2022 |
The role of regularization in data-driven predictive control V Breschi, A Chiuso, S Formentin arXiv preprint arXiv:2203.10846, 2022 | 9 | 2022 |
Proper closed-loop specifications for data-driven model-reference control V Breschi, S Formentin IFAC-PapersOnLine 54 (9), 46-51, 2021 | 9 | 2021 |
Recursive bias-correction method for identification of piecewise affine output-error models M Mejari, V Breschi, D Piga IEEE Control Systems Letters 4 (4), 970-975, 2020 | 9 | 2020 |
Cooperative constrained parameter estimation by ADMM-RLS V Breschi, A Bemporad, IV Kolmanovsky Automatica 121, 109175, 2020 | 8 | 2020 |
Social network analysis of electric vehicles adoption: a data-based approach V Breschi, M Tanelli, C Ravazzi, S Strada, F Dabbene 2020 IEEE international conference on human-machine systems (ICHMS), 1-4, 2020 | 8 | 2020 |
Cloud-aided collaborative estimation by admm-rls algorithms for connected diagnostics and prognostics V Breschi, I Kolmanovsky, A Bemporad 2018 Annual American Control Conference (ACC), 2727-2732, 2018 | 8 | 2018 |
Data-driven design of explicit predictive controllers A Sassella, V Breschi, S Formentin 2022 IEEE 61st Conference on Decision and Control (CDC), 2821-2826, 2022 | 7 | 2022 |