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Valentina Breschi
Valentina Breschi
Assistant Professor @ TU/e
Bestätigte E-Mail-Adresse bei tue.nl
Titel
Zitiert von
Zitiert von
Jahr
Piecewise affine regression via recursive multiple least squares and multicategory discrimination
V Breschi, D Piga, A Bemporad
Automatica 73, 155-162, 2016
892016
Fitting jump models
A Bemporad, V Breschi, D Piga, SP Boyd
Automatica 96, 11-21, 2018
462018
Direct data‐driven design of switching controllers
V Breschi, S Formentin
International Journal of Robust and Nonlinear Control 30 (15), 6042-6072, 2020
202020
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
162016
Model structure selection for switched NARX system identification: a randomized approach
F Bianchi, V Breschi, D Piga, L Piroddi
Automatica 125, 109415, 2021
122021
The role of regularization in data-driven predictive control
V Breschi, A Chiuso, S Formentin
arXiv preprint arXiv:2203.10846, 2022
112022
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
102021
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
72020
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
72020
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
62020
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
62018
Piecewise affine regression via recursive multiple least squares and multicategory discrimination
A Bemporad, V Breschi, D Piga
Automatica, accepted for publication, 2016
62016
On the design of regularized explicit predictive controllers from input-output data
V Breschi, A Sassella, S Formentin
IEEE Transactions on Automatic Control, 2022
52022
Proper closed-loop specifications for data-driven model-reference control
V Breschi, S Formentin
IFAC-PapersOnLine 54 (9), 46-51, 2021
52021
NAW-NET: neural anti-windup control for saturated nonlinear systems
V Breschi, D Masti, S Formentin, A Bemporad
2020 59th IEEE Conference on Decision and Control (CDC), 3335-3340, 2020
52020
Estimation of jump Box–Jenkins models
D Piga, V Breschi, A Bemporad
Automatica 120, 109126, 2020
52020
Maximum-a-posteriori estimation of jump Box-Jenkins models
V Breschi, D Piga, A Bemporad
2019 IEEE 58th Conference on Decision and Control (CDC), 1532-1537, 2019
52019
Kalman filtering for energy disaggregation
V Breschi, D Piga, A Bemporad
IFAC-PapersOnLine 51 (5), 108-113, 2018
52018
Data-driven predictive control in a stochastic setting: A unified framework
V Breschi, A Chiuso, S Formentin
Automatica 152, 110961, 2023
42023
Online end-use energy disaggregation via jump linear models
V Breschi, D Piga, A Bemporad
Control Engineering Practice 89, 30-42, 2019
42019
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