BRESCHI, VALENTINA
BRESCHI, VALENTINA
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A data-driven switching control approach for braking systems with constraints
2022-01-01 Sassella, A.; Breschi, V.; Formentin, S.; Savaresi, S. M.
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics
2018-01-01 Breschi, V.; Kolmanovsky, I.; Bemporad, A.
Cooperative constrained parameter estimation by ADMM-RLS
2020-01-01 Breschi, V.; Bemporad, A.; Kolmanovsky, I. V.
Data-driven design of explicit predictive controllers
2022-01-01 Sassella, Andrea; Breschi, Valentina; Formentin, Simone
Data-driven on-line load monitoring in garbage trucks
2020-01-01 Breschi, Valentina; Formentin, Simone; Todeschini, Davide; Cologni, Alberto L.; Savaresi, Sergio M.
Designing effective policies to drive the adoption of electric vehicles: A data-informed approach
2021-01-01 Breschi, V.; Tanelli, M.; Ravazzi, C.; Strada, S.; Dabbene, F.
Direct data-driven design of LPV controllers with soft performance specifications
2022-01-01 van Meer, M; Breschi, V; Oomen, T; Formentin, S
Direct data-driven design of neural reference governors
2020-01-01 Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A.
Direct data-driven design of switching controllers
2019-01-01 Breschi, V.; Formentin, S.
Direct data-driven design of switching controllers for constrained systems
2021-01-01 Sassella, A.; Breschi, V.; Formentin, S.
Direct data-driven LPV control for active braking in aircraft
2021-01-01 Papa, G.; Breschi, V.; Tanelli, M.; Formentin, S.; Savaresi, S. M.
Direct data-driven model-reference control with Lyapunov stability guarantees
2021-01-01 Breschi, V.; Persis, C. D.; Formentin, S.; Tesi, P.
Estimation of jump Box–Jenkins models
2020-01-01 Piga, D.; Breschi, V.; Bemporad, A.
Fitting jump models
2018-01-01 Bemporad, A.; Breschi, V.; Piga, D.; Boyd, S. P.
Fostering the Mass Adoption of Electric Vehicles: a Network-based Approach
2022-01-01 Breschi, V.; Ravazzi, C.; Strada, S.; Dabbene, F.; Tanelli, M.
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination
2017-01-01 Breschi, V.; Bemporad, A.; Piga, D.
Jump model learning and filtering for energy end-use disaggregation
2018-01-01 Breschi, V.; Piga, D.; Bemporad, A.
Kalman filtering for energy disaggregation
2018-01-01 Breschi, V.; Piga, D.; Bemporad, A.
Learning hybrid models with logical and continuous dynamics via multiclass linear separation
2016-01-01 Breschi, V.; Piga, D.; Bemporad, A.
Maximum-a-posteriori estimation of jump Box-Jenkins models
2019-01-01 Breschi, V.; Piga, D.; Bemporad, A.