Valentina Breschi

101 papers C 2Journal 66Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions. CoRR Aurelio Raffa Ugolini, Jessica Leoni, Valentina Breschi, Damiano Paniccia, Francesco Aldo Tucci, Luigi Capone, Mara Tanelli
2026	J	`jnl`	Explainable condition monitoring via probabilistic anomaly detection applied to helicopter transmissions. Eng. Appl. Artif. Intell. Aurelio Raffa Ugolini, Jessica Leoni, Valentina Breschi, Damiano Paniccia, Francesco Aldo Tucci, Luigi Capone, Mara Tanelli
2026	J	`jnl`	Fairness-aware design of nudging policies under stochasticity and prejudices. CoRR Lisa Piccinin, Camilla Quaresmini, Edoardo Vitale, Mara Tanelli, Valentina Breschi
2026	J	`jnl`	The impact of sensor placement on graph-neural-network-based leakage detection. CoRR Jarne J. H. Van Gemert, Valentina Breschi, Doekle R. Yntema, Karel J. Keesman, Mircea Lazar
2025	—	`conf`	A Scenario-Based Model Predictive Control Scheme for Pandemic Response Through Non-Pharmaceutical Interventions. CCTA Domagoj Herceg, Marco DellOro, Riccardo Bertollo, Fuminari Miura, Paul de Klaver, Valentina Breschi, Dinesh Krishnamoorthy, Mauro Salazar
2025	—	`conf`	A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions. ECC Domagoj Herceg, Marco DellOro, Riccardo Bertollo, Fuminari Miura, Paul de Klaver, Valentina Breschi, Dinesh Krishnamoorthy, Mauro Salazar
2025	J	`jnl`	A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions. CoRR Domagoj Herceg, Marco DellOro, Riccardo Bertollo, Fuminari Miura, Paul de Klaver, Valentina Breschi, Dinesh Krishnamoorthy, Mauro Salazar
2025	—	`conf`	AutoLIME and PWA-LIME: towards robust explanations of deep dynamical models. CDC Federico Porcari, Valentina Breschi, Simone Formentin
2025	J	`jnl`	Bias correction and instrumental variables for direct data-driven model-reference control. Eur. J. Control Manas Mejari, Valentina Breschi, Milad Banitalebi Dehkordi, Simone Formentin, Dario Piga
2025	J	`jnl`	CoCoAFusE: Beyond Mixtures of Experts via Model Fusion. CoRR Aurelio Raffa Ugolini, Mara Tanelli, Valentina Breschi
2025	J	`jnl`	Constrained Performance Boosting Control for Nonlinear Systems via ADMM. CoRR Gianluca Giacomelli, Danilo Saccani, Siep Weiland, Giancarlo Ferrari-Trecate, Valentina Breschi
2025	—	`conf`	Enhancing direct data-driven model-reference controllers from open loop data: a closed-loop estimation approach. ECC Daniele Masti, Filippo Fabiani, Valentina Breschi
2025	J	`jnl`	Explainable data-driven modeling via mixture of experts: Towards effective blending of gray and black-box models. Autom. Jessica Leoni, Valentina Breschi, Simone Formentin, Mara Tanelli
2025	—	`conf`	Exploiting structural observability and graph colorability for optimal sensor placement in water distribution networks. ECC Jarne J. H. Van Gemert, Valentina Breschi, Doekle R. Yntema, Karel J. Keesman, Mircea Lazar
2025	J	`jnl`	Fair closed-loop policies for fostering the energy transition: A control-oriented approach. IFAC J. Syst. Control. Eugenia Villa, Oriana Guagliardi, Valentina Breschi, Mara Tanelli
2025	J	`jnl`	Fair-MPC: A Framework for Just Decision-Making. IEEE Trans. Autom. Control. Eugenia Villa, Valentina Breschi, Mara Tanelli
2025	J	`jnl`	Harnessing uncertainty for a separation principle in direct data-driven predictive control. Autom. Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
2025	J	`jnl`	In-Context Learning for Zero-Shot Speed Estimation of BLDC motors. CoRR Alessandro Colombo, Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2025	J	`jnl`	Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts. IEEE Control. Syst. Lett. Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Innovation diffusion dynamics toward long-term behavioral shifts. CoRR Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	—	`conf`	Insights into the explainability of Lasso-based DeePC for nonlinear systems. CDC Gianluca Giacomelli, Simone Formentin, Victor G. Lopez, Matthias Albrecht Müller, Valentina Breschi
2025	J	`jnl`	Insights into the explainability of Lasso-based DeePC for nonlinear systems. CoRR Gianluca Giacomelli, Simone Formentin, Victor G. Lopez, Matthias A. Müller, Valentina Breschi
2025	J	`jnl`	Learning-based estimation of operators' psycho-physiological state. Expert Syst. Appl. Lisa Piccinin, Jessica Leoni, Eugenia Villa, Sabrina Milani, Valentina Breschi, Mara Tanelli, Manuel Colavincenzo, Stefano Martorana
2025	J	`jnl`	Meta-learning for model-reference data-driven control. Autom. Riccardo Busetto, Valentina Breschi, Simone Formentin
2025	J	`jnl`	Optimal Policy Design for Repeated Decision-Making under Social Influence. CoRR Chiara Ravazzi, Valentina Breschi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2025	J	`jnl`	Optimal policy design for innovation diffusion: shaping today's incentives for transforming the future. CoRR Lisa Piccinin, Valentina Breschi, Chiara Ravazzi, Fabrizio Dabbene, Mara Tanelli
2025	—	`conf`	Scalable Sensor Placement for Cyclic Networks with Observability Guarantees: Application to Water Distribution Networks. CDC Jarne J. H. Van Gemert, Valentina Breschi, Doekle R. Yntema, Karel J. Keesman, Mircea Lazar
2025	J	`jnl`	Scalable Sensor Placement for Cyclic Networks with Observability Guarantees: Application to Water Distribution Networks. CoRR Jarne J. H. Van Gemert, Valentina Breschi, Doekle R. Yntema, Karel J. Keesman, Mircea Lazar
2025	—	`conf`	The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making. EWAF Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli
2025	J	`jnl`	The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making. CoRR Eugenia Villa, Camilla Quaresmini, Valentina Breschi, Viola Schiaffonati, Mara Tanelli
2025	J	`jnl`	Toward Federated DeePC: borrowing data from similar systems. CoRR Gert Vankan, Valentina Breschi, Simone Formentin
2024	J	`jnl`	Bias correction and instrumental variables for direct data-driven model-reference control. CoRR Manas Mejari, Valentina Breschi, Simone Formentin, Dario Piga
2024	J	`jnl`	Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds. IEEE Control. Syst. Lett. Manas Mejari, Valentina Breschi
2024	J	`jnl`	Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models. CoRR Jessica Leoni, Valentina Breschi, Simone Formentin, Mara Tanelli
2024	J	`jnl`	Exploiting structural observability and graph colorability for optimal sensor placement in water distribution networks. CoRR Jarne J. H. Van Gemert, Valentina Breschi, Doekle R. Yntema, Karel J. Keesman, Mircea Lazar
2024	—	`conf`	Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills. CCTA Gianluca Giacomelli, Alessio La Bella, Marco Lauricella, Valentina Breschi, Riccardo Scattolini
2024	—	`conf`	Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees. CDC Thomas de Jong, Valentina Breschi, Maarten Schoukens, Mircea Lazar
2024	J	`jnl`	Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees. CoRR Thomas de Jong, Valentina Breschi, Maarten Schoukens, Mircea Lazar
2024	—	`conf`	Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study. CDC Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin
2024	J	`jnl`	Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study. CoRR Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin
2024	J	`jnl`	On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches. IEEE Control. Syst. Lett. Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2024	J	`jnl`	On the equivalence of direct and indirect data-driven predictive control approaches. CoRR Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2024	J	`jnl`	One controller to rule them all. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2024	J	`jnl`	Optimal policy design for decision problems under social influence. CoRR Valentina Breschi, Chiara Ravazzi, Paolo Frasca, Fabrizio Dabbene, Mara Tanelli
2024	J	`jnl`	SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study. CoRR Aurelio Raffa Ugolini, Valentina Breschi, Andrea Manzoni, Mara Tanelli
2023	J	`jnl`	Auto-tuning of reference models in direct data-driven control. Autom. Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad
2023	J	`jnl`	Data-Driven Design of Explicit Predictive Controllers With Structural Priors. IEEE Control. Syst. Lett. Valentina Breschi, Andrea Sassella, Simone Formentin
2023	J	`jnl`	Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case. IEEE Control. Syst. Lett. T. O. de Jong, Valentina Breschi, Maarten Schoukens, Simone Formentin
2023	J	`jnl`	Data-Driven Stabilization of Input-Saturated Systems. IEEE Control. Syst. Lett. Valentina Breschi, Luca Zaccarian, Simone Formentin
2023	J	`jnl`	Data-driven predictive control in a stochastic setting: a unified framework. Autom. Valentina Breschi, Alessandro Chiuso, Simone Formentin
2023	J	`jnl`	Handbook of linear data-driven predictive control: Theory, implementation and design. Annu. Rev. Control. P. C. N. Verheijen, Valentina Breschi, Mircea Lazar
2023	J	`jnl`	Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin
2023	J	`jnl`	In-context learning of state estimators. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2023	—	`conf`	META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization. CDC Riccardo Busetto, Valentina Breschi, Simone Formentin
2023	J	`jnl`	META-SMGO-Δ: similarity as a prior in black-box optimization. CoRR Riccardo Busetto, Valentina Breschi, Simone Formentin
2023	J	`jnl`	Meta-learning for model-reference data-driven control. CoRR Riccardo Busetto, Valentina Breschi, Simone Formentin
2023	J	`jnl`	Model predictive control with dynamic move blocking. CoRR Valentina Breschi, Simone Formentin, Alberto Leva
2023	J	`jnl`	On the Design of Regularized Explicit Predictive Controllers From Input-Output Data. IEEE Trans. Autom. Control. Valentina Breschi, Andrea Sassella, Simone Formentin
2023	—	`conf`	On the Impact of Regularization in Data-Driven Predictive Control. CDC Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
2023	J	`jnl`	On the impact of regularization in data-driven predictive control. CoRR Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin
2023	—	`conf`	Qualification and Quantification of Fairness for Sustainable Mobility Policies. EWAF Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli
2022	J	`jnl`	Data-driven design of explicit predictive controllers using model-based priors. CoRR Valentina Breschi, Andrea Sassella, Simone Formentin
2022	—	`conf`	Data-driven design of explicit predictive controllers. CDC Andrea Sassella, Valentina Breschi, Simone Formentin
2022	J	`jnl`	Direct data-driven design of LPV controllers with soft performance specifications. J. Frankl. Inst. Max van Meer, Valentina Breschi, Tom Oomen, Simone Formentin
2022	J	`jnl`	Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach. IEEE Trans. Control. Netw. Syst. Valentina Breschi, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene, Mara Tanelli
2022	—	`conf`	Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition. L4DC Andrea Sassella, Valentina Breschi, Simone Formentin
2022	—	`conf`	Sharing-DNA: a data-driven tool to map the attitude towards sharing services across Europe. ISC2 Eugenia Villa, Giacomo Preti, Marco Riva, Valentina Breschi, Mara Tanelli
2022	J	`jnl`	The role of regularization in data-driven predictive control. CoRR Valentina Breschi, Alessandro Chiuso, Simone Formentin
2022	J	`jnl`	Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso
2021	—	`conf`	An ADMM-based approach for multi-class recursive parameter estimation. CDC Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky
2021	—	`conf`	Data-driven design of switching reference governors for brake-by-wire applications. L4DC Andrea Sassella, Valentina Breschi, Simone Formentin
2021	—	`conf`	Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach. MED Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2021	C	`conf`	Direct data-driven design of switching controllers for constrained systems. ACC Andrea Sassella, Valentina Breschi, Simone Formentin
2021	—	`conf`	Direct data-driven model-reference control with Lyapunov stability guarantees. CDC Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi
2021	J	`jnl`	Direct data-driven model-reference control with Lyapunov stability guarantees. CoRR Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi
2021	J	`jnl`	Learning explicit predictive controllers: theory and applications. CoRR Andrea Sassella, Valentina Breschi, Simone Formentin
2021	J	`jnl`	Model structure selection for switched NARX system identification: A randomized approach. Autom. Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi
2021	J	`jnl`	On the design of regularized explicit predictive controllers from input-output data. CoRR Valentina Breschi, Andrea Sassella, Simone Formentin
2021	—	`conf`	The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies. L4DC Laura Ferrarotti, Valentina Breschi, Alberto Bemporad
2020	J	`jnl`	Cooperative constrained parameter estimation by ADMM-RLS. Autom. Valentina Breschi, Alberto Bemporad, Ilya V. Kolmanovsky
2020	—	`conf`	Direct Data-Driven Control with Embedded Anti-Windup Compensation. L4DC Valentina Breschi, Simone Formentin
2020	—	`conf`	Direct data-driven design of neural reference governors. CDC Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad
2020	J	`jnl`	Estimation of jump Box-Jenkins models. Autom. Dario Piga, Valentina Breschi, Alberto Bemporad
2020	—	`conf`	NAW-NET: neural anti-windup control for saturated nonlinear systems. CDC Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad
2020	J	`jnl`	Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. Manas Mejari, Valentina Breschi, Dario Piga
2020	—	`conf`	Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CDC Valentina Breschi, Manas Mejari
2020	J	`jnl`	Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. CoRR Valentina Breschi, Manas Mejari
2020	—	`conf`	Social network analysis of electric vehicles adoption: a data-based approach. ICHMS Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2020	J	`jnl`	Social network analysis of electric vehicles adoption: a data-based approach. CoRR Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene
2020	J	`jnl`	Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments. Autom. Valentina Breschi, Simone Formentin, Gianmarco Rallo, Matteo Corno, Sergio M. Savaresi
2020	—	`conf`	Virtual Reference Feedback Tuning with data-driven reference model selection. L4DC Valentina Breschi, Simone Formentin
2019	—	`conf`	Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC Valentina Breschi, Dario Piga, Alberto Bemporad
2019	—	`conf`	Simulation-driven fixed-order controller tuning via moment matching. ECC Valentina Breschi, Simone Formentin, Giordano Scarciotti, Alessandro Astolfi
2018	C	`conf`	Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics. ACC Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad
2018	J	`jnl`	Fitting jump models. Autom. Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
2018	—	`conf`	Prediction error methods in learning jump ARMAX models. CDC Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd
2017	J	`jnl`	Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics. CoRR Valentina Breschi, Ilya V. Kolmanovsky, Alberto Bemporad
2017	J	`jnl`	Fitting Jump Models. CoRR Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
2016	—	`conf`	Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC Valentina Breschi, Alberto Bemporad, Dario Piga
2016	—	`conf`	Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC Valentina Breschi, Dario Piga, Alberto Bemporad
2016	J	`jnl`	Piecewise affine regression via recursive multiple least squares and multicategory discrimination. Autom. Valentina Breschi, Dario Piga, Alberto Bemporad