Valentina Breschi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 62

Top Topics

Piecewise Affine

Parameter Estimation

Reference Models

Top Venues

IEEE Control. Syst. Lett.

Publications

Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches. IEEE Control. Syst. Lett. 8 (2024)
Jessica Leoni, Valentina Breschi, Simone Formentin, Mara Tanelli
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models. CoRR (2024)
Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin
Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study. CoRR (2024)
Thomas de Jong, Valentina Breschi, Maarten Schoukens, Mircea Lazar
Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees. CoRR (2024)
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the equivalence of direct and indirect data-driven predictive control approaches. CoRR (2024)
Aurelio Raffa Ugolini, Valentina Breschi, Andrea Manzoni, Mara Tanelli
SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study. CoRR (2024)
Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
Optimal policy design for decision problems under social influence. CoRR (2024)
Riccardo Busetto, Valentina Breschi, Simone Formentin
META-SMGO-Δ: similarity as a prior in black-box optimization. CoRR (2023)
T. O. de Jong, Valentina Breschi, Maarten Schoukens, Simone Formentin
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case. IEEE Control. Syst. Lett. 7 (2023)
Valentina Breschi, Simone Formentin, Alberto Leva
Model predictive control with dynamic move blocking. CoRR (2023)
Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli
Qualification and Quantification of Fairness for Sustainable Mobility Policies. EWAF (2023)
Valentina Breschi, Andrea Sassella, Simone Formentin
Data-Driven Design of Explicit Predictive Controllers With Structural Priors. IEEE Control. Syst. Lett. 7 (2023)
Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
In-context learning of state estimators. CoRR (2023)
Riccardo Busetto, Valentina Breschi, Simone Formentin
META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization. CDC (2023)
Valentina Breschi, Andrea Sassella, Simone Formentin
On the Design of Regularized Explicit Predictive Controllers From Input-Output Data. IEEE Trans. Autom. Control. 68 (8) (2023)
Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad
Auto-tuning of reference models in direct data-driven control. Autom. 155 (2023)
Riccardo Busetto, Valentina Breschi, Simone Formentin
Meta-learning for model-reference data-driven control. CoRR (2023)
Valentina Breschi, Alessandro Chiuso, Simone Formentin
Data-driven predictive control in a stochastic setting: a unified framework. Autom. 152 (2023)
Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR (2023)
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
On the impact of regularization in data-driven predictive control. CoRR (2023)
Valentina Breschi, Luca Zaccarian, Simone Formentin
Data-Driven Stabilization of Input-Saturated Systems. IEEE Control. Syst. Lett. 7 (2023)
Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
On the Impact of Regularization in Data-Driven Predictive Control. CDC (2023)
Valentina Breschi, Andrea Sassella, Simone Formentin
Data-driven design of explicit predictive controllers using model-based priors. CoRR (2022)
Andrea Sassella, Valentina Breschi, Simone Formentin
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition. L4DC (2022)
Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso
Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR (2022)
Eugenia Villa, Giacomo Preti, Marco Riva, Valentina Breschi, Mara Tanelli
Sharing-DNA: a data-driven tool to map the attitude towards sharing services across Europe. ISC2 (2022)
Max van Meer, Valentina Breschi, Tom Oomen, Simone Formentin
Direct data-driven design of LPV controllers with soft performance specifications. J. Frankl. Inst. 359 (2) (2022)
Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. IEEE Trans. Control. Netw. Syst. 9 (4) (2022)
Valentina Breschi, Alessandro Chiuso, Simone Formentin
The role of regularization in data-driven predictive control. CoRR (2022)
Andrea Sassella, Valentina Breschi, Simone Formentin
Data-driven design of explicit predictive controllers. CDC (2022)
Valentina Breschi, Andrea Sassella, Simone Formentin
On the design of regularized explicit predictive controllers from input-output data. CoRR (2021)
Andrea Sassella, Valentina Breschi, Simone Formentin
Direct data-driven design of switching controllers for constrained systems. ACC (2021)
Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi
Direct data-driven model-reference control with Lyapunov stability guarantees. CDC (2021)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. MED (2021)
Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi
Direct data-driven model-reference control with Lyapunov stability guarantees. CoRR (2021)
Andrea Sassella, Valentina Breschi, Simone Formentin
Learning explicit predictive controllers: theory and applications. CoRR (2021)
Andrea Sassella, Valentina Breschi, Simone Formentin
Data-driven design of switching reference governors for brake-by-wire applications. L4DC (2021)
Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky
An ADMM-based approach for multi-class recursive parameter estimation. CDC (2021)
Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi
Model structure selection for switched NARX system identification: A randomized approach. Autom. 125 (2021)
Laura Ferrarotti, Valentina Breschi, Alberto Bemporad
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies. L4DC (2021)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. ICHMS (2020)
Valentina Breschi, Simone Formentin
Direct Data-Driven Control with Embedded Anti-Windup Compensation. L4DC (2020)
Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
Social network analysis of electric vehicles adoption: a data-based approach. CoRR (2020)
Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad
NAW-NET: neural anti-windup control for saturated nonlinear systems. CDC (2020)
Valentina Breschi, Simone Formentin, Gianmarco Rallo, Matteo Corno, Sergio M. Savaresi
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments. Autom. 122 (2020)
Manas Mejari, Valentina Breschi, Dario Piga
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. 4 (4) (2020)
Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad
Direct data-driven design of neural reference governors. CDC (2020)
Valentina Breschi, Manas Mejari
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CoRR (2020)
Valentina Breschi, Simone Formentin
Virtual Reference Feedback Tuning with data-driven reference model selection. L4DC (2020)
Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky
Cooperative constrained parameter estimation by ADMM-RLS. Autom. 121 (2020)
Valentina Breschi, Manas Mejari
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CDC (2020)
Dario Piga, Valentina Breschi, Alberto Bemporad
Estimation of jump Box-Jenkins models. Autom. 120 (2020)
Valentina Breschi, Dario Piga, Alberto Bemporad
Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC (2019)
Valentina Breschi, Simone Formentin, Giordano Scarciotti, Alessandro Astolfi
Simulation-driven fixed-order controller tuning via moment matching. ECC (2019)
Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics. ACC (2018)
Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
Fitting jump models. Autom. 96 (2018)
Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd
Prediction error methods in learning jump ARMAX models. CDC (2018)
Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics. CoRR (2017)
Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
Fitting Jump Models. CoRR (2017)
Valentina Breschi, Dario Piga, Alberto Bemporad
Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC (2016)
Valentina Breschi, Alberto Bemporad, Dario Piga
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC (2016)
Valentina Breschi, Dario Piga, Alberto Bemporad
Piecewise affine regression via recursive multiple least squares and multicategory discrimination. Autom. 73 (2016)