Valentina Breschi

Eindhoven University of Technology

Netherlands

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Articles (25)

Fair-MPC: A Framework for Just Decision-Making

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Year:

2025

Bias correction and instrumental variables for direct data-driven model-reference control

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Year:

2025

Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts

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Year:

2025

On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches

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Year:

2024

Can control aid in attaining sustainable goals? An improved data-informed framework to promote shared mobility

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Year:

2024

Epidemiology and Clinical Insights of Catheter-Related Candidemia in Non-ICU Patients with Vascular Access Devices

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Year:

2024

Iterative Feedback Tuning with automated reference model selection

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Year:

2024

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds

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Year:

2024

On the Design of Regularized Explicit Predictive Controllers From Input–Output Data

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Year:

2023

Data-driven predictive control in a stochastic setting

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Year:

2023

Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals

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Year:

2023

Data-Driven Design of Explicit Predictive Controllers With Structural Priors

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Year:

2023

Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case

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Year:

2023

Data-Driven Stabilization of Input-Saturated Systems

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Year:

2023

AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control

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Year:

2023

Handbook of linear data-driven predictive control

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Year:

2023

Model-based and Koopman-based predictive control

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Year:

2023

Tuning of subspace predictive controls

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Year:

2023

Auto-tuning of reference models in direct data-driven control

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Year:

2023

A practitioner's guide to noise handling strategies in data-driven predictive control

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Year:

2023

Uncertainty-aware data-driven predictive control in a stochastic setting

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Year:

2023

Direct data-driven design of LPV controllers with soft performance specifications

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Year:

2022

Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach

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Year:

2022

A data-driven switching control approach for braking systems with constraints

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Year:

2022

On data-driven design of LPV controllers with flexible reference models

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Year:

2021

Collaborators (1)

Max van Meer

Eindhoven University of Technology

NETHERLANDS

Valentina Breschi

Research Interests

Explore related searches

Contact this professor

Articles (25)

Fair-MPC: A Framework for Just Decision-Making

Bias correction and instrumental variables for direct data-driven model-reference control

Innovation Diffusion Dynamics Toward Long-Term Behavioral Shifts

On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches

Can control aid in attaining sustainable goals? An improved data-informed framework to promote shared mobility

Epidemiology and Clinical Insights of Catheter-Related Candidemia in Non-ICU Patients with Vascular Access Devices

Iterative Feedback Tuning with automated reference model selection

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds

On the Design of Regularized Explicit Predictive Controllers From Input–Output Data

Data-driven predictive control in a stochastic setting

Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals

Data-Driven Design of Explicit Predictive Controllers With Structural Priors

Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case

Data-Driven Stabilization of Input-Saturated Systems

AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control

Handbook of linear data-driven predictive control

Model-based and Koopman-based predictive control

Tuning of subspace predictive controls

Auto-tuning of reference models in direct data-driven control

A practitioner's guide to noise handling strategies in data-driven predictive control

Uncertainty-aware data-driven predictive control in a stochastic setting

Direct data-driven design of LPV controllers with soft performance specifications

Fostering the Mass Adoption of Electric Vehicles: A Network-Based Approach

A data-driven switching control approach for braking systems with constraints

On data-driven design of LPV controllers with flexible reference models

Collaborators (1)

Max van Meer

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