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Valentina Breschi
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Journal Articles
- 2024
- [j17]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: 796-801 (2024) - 2023
- [j16]P. C. N. Verheijen, Valentina Breschi, Mircea Lazar:
Handbook of linear data-driven predictive control: Theory, implementation and design. Annu. Rev. Control. 56: 100914 (2023) - [j15]Valentina Breschi, Alessandro Chiuso, Simone Formentin:
Data-driven predictive control in a stochastic setting: a unified framework. Autom. 152: 110961 (2023) - [j14]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Auto-tuning of reference models in direct data-driven control. Autom. 155: 111110 (2023) - [j13]Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-Driven Design of Explicit Predictive Controllers With Structural Priors. IEEE Control. Syst. Lett. 7: 1616-1621 (2023) - [j12]Valentina Breschi, Luca Zaccarian, Simone Formentin:
Data-Driven Stabilization of Input-Saturated Systems. IEEE Control. Syst. Lett. 7: 1640-1645 (2023) - [j11]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: 2431-2436 (2023) - [j10]Valentina Breschi, Andrea Sassella, Simone Formentin:
On the Design of Regularized Explicit Predictive Controllers From Input-Output Data. IEEE Trans. Autom. Control. 68(8): 4977-4983 (2023) - 2022
- [j9]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): 816-836 (2022) - [j8]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): 1666-1678 (2022) - 2021
- [j7]Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi:
Model structure selection for switched NARX system identification: A randomized approach. Autom. 125: 109415 (2021) - 2020
- [j6]Dario Piga, Valentina Breschi, Alberto Bemporad:
Estimation of jump Box-Jenkins models. Autom. 120: 109126 (2020) - [j5]Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky:
Cooperative constrained parameter estimation by ADMM-RLS. Autom. 121: 109175 (2020) - [j4]Valentina Breschi, Simone Formentin, Gianmarco Rallo, Matteo Corno, Sergio M. Savaresi:
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments. Autom. 122: 109237 (2020) - [j3]Manas Mejari, Valentina Breschi, Dario Piga:
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. 4(4): 970-975 (2020) - 2018
- [j2]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting jump models. Autom. 96: 11-21 (2018) - 2016
- [j1]Valentina Breschi, Dario Piga, Alberto Bemporad:
Piecewise affine regression via recursive multiple least squares and multicategory discrimination. Autom. 73: 155-162 (2016)
Conference and Workshop Papers
- 2024
- [c25]Gianluca Giacomelli, Alessio La Bella, Marco Lauricella, Valentina Breschi, Riccardo Scattolini:
Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills. CCTA 2024: 710-715 - 2023
- [c24]Riccardo Busetto, Valentina Breschi, Simone Formentin:
META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization. CDC 2023: 1294-1299 - [c23]Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the Impact of Regularization in Data-Driven Predictive Control. CDC 2023: 3061-3066 - [c22]Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli:
Qualification and Quantification of Fairness for Sustainable Mobility Policies. EWAF 2023 - 2022
- [c21]Andrea Sassella, Valentina Breschi, Simone Formentin:
Data-driven design of explicit predictive controllers. CDC 2022: 2821-2826 - [c20]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: 1-7 - [c19]Andrea Sassella, Valentina Breschi, Simone Formentin:
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition. L4DC 2022: 74-85 - 2021
- [c18]Andrea Sassella, Valentina Breschi, Simone Formentin:
Direct data-driven design of switching controllers for constrained systems. ACC 2021: 2355-2360 - [c17]Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi:
Direct data-driven model-reference control with Lyapunov stability guarantees. CDC 2021: 1456-1461 - [c16]Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky:
An ADMM-based approach for multi-class recursive parameter estimation. CDC 2021: 5169-5174 - [c15]Laura Ferrarotti, Valentina Breschi, Alberto Bemporad:
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies. L4DC 2021: 87-98 - [c14]Andrea Sassella, Valentina Breschi, Simone Formentin:
Data-driven design of switching reference governors for brake-by-wire applications. L4DC 2021: 99-110 - [c13]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: 311-316 - 2020
- [c12]Valentina Breschi, Manas Mejari:
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CDC 2020: 1626-1631 - [c11]Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad:
NAW-NET: neural anti-windup control for saturated nonlinear systems. CDC 2020: 3335-3340 - [c10]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Direct data-driven design of neural reference governors. CDC 2020: 4955-4960 - [c9]Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene:
Social network analysis of electric vehicles adoption: a data-based approach. ICHMS 2020: 1-4 - [c8]Valentina Breschi, Simone Formentin:
Virtual Reference Feedback Tuning with data-driven reference model selection. L4DC 2020: 37-45 - [c7]Valentina Breschi, Simone Formentin:
Direct Data-Driven Control with Embedded Anti-Windup Compensation. L4DC 2020: 46-54 - 2019
- [c6]Valentina Breschi, Dario Piga, Alberto Bemporad:
Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC 2019: 1532-1537 - [c5]Valentina Breschi, Simone Formentin, Giordano Scarciotti, Alessandro Astolfi:
Simulation-driven fixed-order controller tuning via moment matching. ECC 2019: 2307-2312 - 2018
- [c4]Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad:
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics. ACC 2018: 2727-2732 - [c3]Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd:
Prediction error methods in learning jump ARMAX models. CDC 2018: 2247-2252 - 2016
- [c2]Valentina Breschi, Dario Piga, Alberto Bemporad:
Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC 2016: 353-358 - [c1]Valentina Breschi, Alberto Bemporad, Dario Piga:
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC 2016: 2632-2637
Informal and Other Publications
- 2024
- [i22]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 abs/2401.17118 (2024) - [i21]Aurelio Raffa Ugolini, Valentina Breschi, Andrea Manzoni, Mara Tanelli:
SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study. CoRR abs/2403.00578 (2024) - [i20]Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön:
On the equivalence of direct and indirect data-driven predictive control approaches. CoRR abs/2403.05860 (2024) - [i19]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 abs/2403.14500 (2024) - [i18]Thomas de Jong, Valentina Breschi, Maarten Schoukens, Mircea Lazar:
Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees. CoRR abs/2405.01292 (2024) - [i17]Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli:
Optimal policy design for decision problems under social influence. CoRR abs/2406.07282 (2024) - 2023
- [i16]Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the impact of regularization in data-driven predictive control. CoRR abs/2304.00263 (2023) - [i15]Riccardo Busetto, Valentina Breschi, Simone Formentin:
META-SMGO-Δ: similarity as a prior in black-box optimization. CoRR abs/2305.00438 (2023) - [i14]Valentina Breschi, Simone Formentin, Alberto Leva:
Model predictive control with dynamic move blocking. CoRR abs/2308.07854 (2023) - [i13]Riccardo Busetto, Valentina Breschi, Simone Formentin:
Meta-learning for model-reference data-driven control. CoRR abs/2308.15458 (2023) - [i12]Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
In-context learning of state estimators. CoRR abs/2312.04509 (2023) - [i11]Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin:
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR abs/2312.14788 (2023) - 2022
- [i10]Valentina Breschi, Alessandro Chiuso, Simone Formentin:
The role of regularization in data-driven predictive control. CoRR abs/2203.10846 (2022) - [i9]Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-driven design of explicit predictive controllers using model-based priors. CoRR abs/2207.01148 (2022) - [i8]Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso:
Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR abs/2211.10321 (2022) - 2021
- [i7]Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi:
Direct data-driven model-reference control with Lyapunov stability guarantees. CoRR abs/2103.12663 (2021) - [i6]Andrea Sassella, Valentina Breschi, Simone Formentin:
Learning explicit predictive controllers: theory and applications. CoRR abs/2108.08412 (2021) - [i5]Valentina Breschi, Andrea Sassella, Simone Formentin:
On the design of regularized explicit predictive controllers from input-output data. CoRR abs/2110.11808 (2021) - 2020
- [i4]Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene:
Social network analysis of electric vehicles adoption: a data-based approach. CoRR abs/2001.09704 (2020) - [i3]Valentina Breschi, Manas Mejari:
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CoRR abs/2010.01520 (2020) - 2017
- [i2]Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad:
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics. CoRR abs/1709.07972 (2017) - [i1]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting Jump Models. CoRR abs/1711.09220 (2017)
Coauthor Index
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last updated on 2024-09-29 01:15 CEST by the dblp team
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