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Valentina Breschi
Valentina Breschi
Assistant Professor @ TU/e
Verified email at tue.nl
Title
Cited by
Cited by
Year
Piecewise affine regression via recursive multiple least squares and multicategory discrimination
V Breschi, D Piga, A Bemporad
Automatica 73, 155-162, 2016
932016
Fitting jump models
A Bemporad, V Breschi, D Piga, SP Boyd
Automatica 96, 11-21, 2018
592018
Data-driven predictive control in a stochastic setting: A unified framework
V Breschi, A Chiuso, S Formentin
Automatica 152, 110961, 2023
282023
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
242021
Direct data‐driven design of switching controllers
V Breschi, S Formentin
International Journal of Robust and Nonlinear Control 30 (15), 6042-6072, 2020
232020
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
192016
Model structure selection for switched NARX system identification: a randomized approach
F Bianchi, V Breschi, D Piga, L Piroddi
Automatica 125, 109415, 2021
172021
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
132020
Estimation of jump Box–Jenkins models
D Piga, V Breschi, A Bemporad
Automatica 120, 109126, 2020
102020
The role of regularization in data-driven predictive control
V Breschi, A Chiuso, S Formentin
arXiv preprint arXiv:2203.10846, 2022
92022
Proper closed-loop specifications for data-driven model-reference control
V Breschi, S Formentin
IFAC-PapersOnLine 54 (9), 46-51, 2021
92021
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
82023
On the design of regularized explicit predictive controllers from input-output data
V Breschi, A Sassella, S Formentin
IEEE Transactions on Automatic Control, 2022
82022
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
82022
Cooperative constrained parameter estimation by ADMM-RLS
V Breschi, A Bemporad, IV Kolmanovsky
Automatica 121, 109175, 2020
82020
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
82020
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
82020
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
82018
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
72022
Handbook of linear data-driven predictive control: Theory, implementation and design
PCN Verheijen, V Breschi, M Lazar
Annual Reviews in Control 56, 100914, 2023
62023
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