Valentina Breschi
Orcid: 0000-0002-1533-7349
According to our database1,
Valentina Breschi
authored at least 54 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study.
CoRR, 2024
CoRR, 2024
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models.
CoRR, 2024
2023
Autom., September, 2023
IEEE Trans. Autom. Control., August, 2023
Autom., June, 2023
Handbook of linear data-driven predictive control: Theory, implementation and design.
Annu. Rev. Control., January, 2023
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
CoRR, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Control. Netw. Syst., 2022
J. Frankl. Inst., 2022
CoRR, 2022
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Sharing-DNA: a data-driven tool to map the attitude towards sharing services across Europe.
Proceedings of the IEEE International Smart Cities Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Model structure selection for switched NARX system identification: A randomized approach.
Autom., 2021
Designing Effective Policies to Drive the Adoption of Electric Vehicles: a Data-informed Approach.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
2020
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models.
IEEE Control. Syst. Lett., 2020
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments.
Autom., 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected diagnostics and prognostics.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics.
CoRR, 2017
2016
Piecewise affine regression via recursive multiple least squares and multicategory discrimination.
Autom., 2016
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination.
Proceedings of the 15th European Control Conference, 2016
Learning hybrid models with logical and continuous dynamics via multiclass linear separation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016