Simone Formentin

Orcid: 0000-0001-6889-6219

According to our database1, Simone Formentin authored at least 159 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study.
CoRR, 2024

Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach.
CoRR, 2024

Model Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam.
CoRR, 2024

Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models.
CoRR, 2024

Automatic dimensionality reduction of Twin-in-the-Loop Observers.
CoRR, 2024

2023
Active Preference Learning for Vehicle Suspensions Calibration.
IEEE Trans. Control. Syst. Technol., November, 2023

Auto-tuning of reference models in direct data-driven control.
Autom., September, 2023

On the Design of Regularized Explicit Predictive Controllers From Input-Output Data.
IEEE Trans. Autom. Control., August, 2023

Data-driven predictive control in a stochastic setting: a unified framework.
Autom., June, 2023

Multi-intersection traffic signal control: A decentralized MPC-based approach.
IFAC J. Syst. Control., March, 2023

Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case.
IEEE Control. Syst. Lett., 2023

Data-Driven Stabilization of Input-Saturated Systems.
IEEE Control. Syst. Lett., 2023

Data-Driven Design of Explicit Predictive Controllers With Structural Priors.
IEEE Control. Syst. Lett., 2023

Hawkes-based cryptocurrency forecasting via Limit Order Book data.
CoRR, 2023

Harnessing the Final Control Error for Optimal Data-Driven Predictive Control.
CoRR, 2023

In-context learning of state estimators.
CoRR, 2023

Unraveling the Control Engineer's Craft with Neural Networks.
CoRR, 2023

Split-Boost Neural Networks.
CoRR, 2023

Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study.
CoRR, 2023

Joint vehicle state and parameters estimation via Twin-in-the-Loop observers.
CoRR, 2023

Scenario-based model predictive control of water reservoir systems.
CoRR, 2023

Meta-learning for model-reference data-driven control.
CoRR, 2023

Model predictive control with dynamic move blocking.
CoRR, 2023

META-SMGO-Δ: similarity as a prior in black-box optimization.
CoRR, 2023

Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels.
CoRR, 2023

META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Impact of Regularization in Data-Driven Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Cross-Coupled SLS for pairs trading: an adaptive control approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

On queue length estimation in urban traffic intersections via inductive loops.
Proceedings of the American Control Conference, 2023

2022
Direct data-driven design of LPV controllers with soft performance specifications.
J. Frankl. Inst., 2022

Kernel-based identification of asymptotically stable continuous-time linear dynamical systems.
Int. J. Control, 2022

Data-driven stock trading in financial markets: an adaptive control approach.
Int. J. Control, 2022

On optimal gear shifting in city bicycles.
IFAC J. Syst. Control., 2022

Learning-based hierarchical control of water reservoir systems.
IFAC J. Syst. Control., 2022

A kernel-based control approach for multi-period assets allocation based on lower partial moments.
Eng. Appl. Artif. Intell., 2022

Model Predictive Control of High-Performance Braking Systems: A Force-Based Approach.
IEEE Control. Syst. Lett., 2022

Uncertainty-aware data-driven predictive control in a stochastic setting.
CoRR, 2022

Hourly operation of a regulated lake via Model Predictive Control.
CoRR, 2022

The Simulator-in-the-Loop approach for vehicle dynamics control.
CoRR, 2022

Data-driven design of explicit predictive controllers using model-based priors.
CoRR, 2022

Simulator-in-the-loop state estimation for vehicle dynamics control: theory and experiments.
CoRR, 2022

The role of regularization in data-driven predictive control.
CoRR, 2022

Kernel-based system identification with manifold regularization: A Bayesian perspective.
Autom., 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

Overlapping-Horizon MPC: A Novel Approach to Computational Constraints in Real-Time Predictive Control.
Proceedings of the Third Workshop on Next Generation Real-Time Embedded Systems, 2022

Auto-calibration with Stability Margins for Active Damping Control in Electric Drivelines.
Proceedings of the European Control Conference, 2022

A receding-horizon estimation and control framework for the content sequencing problem.
Proceedings of the European Control Conference, 2022

Data-driven design of explicit predictive controllers.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Kelly-based stock trading via feedback control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Experimental assessment of neural networks for tire-road force estimation.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
A Note on the Numerical Solutions of Kernel-Based Learning Problems.
IEEE Trans. Autom. Control., 2021

Enhancing skyhook for semi-active suspension control via machine learning.
IFAC J. Syst. Control., 2021

Learning explicit predictive controllers: theory and applications.
CoRR, 2021

Control-oriented regularization for linear system identification.
Autom., 2021

Data-driven design of switching reference governors for brake-by-wire applications.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Direct data-driven model-reference control with Lyapunov stability guarantees.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Real-time optimal traffic management in signal-controlled intersections: a receding-horizon approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Force estimation in electro-mechanical systems: theory and experiments.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Design and Implementation of a MPC-based Rear-Wheel Steering Controller for Sports Cars.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Data-driven Mass Estimation in Continuously Variable Transmission Agricultural Tractors.
Proceedings of the 2021 American Control Conference, 2021

On Damping Ratio Estimation in Electronic Semi-active Suspensions.
Proceedings of the 2021 American Control Conference, 2021

Direct data-driven design of switching controllers for constrained systems.
Proceedings of the 2021 American Control Conference, 2021

Model-reference design of fixed-order controllers for Brake-By-Wire actuators.
Proceedings of the 2021 American Control Conference, 2021

2020
Mixed Data-Driven and Model-Based Robot Implicit Force Control: A Hierarchical Approach.
IEEE Trans. Control. Syst. Technol., 2020

Least costly energy management for extended-range electric vehicles: An economic optimization framework.
Eur. J. Control, 2020

<i>fierClass</i>: A multi-signal, cepstrum-based, time series classifier.
Eng. Appl. Artif. Intell., 2020

Asymmetric State Feedback for Linear Plants With Asymmetric Input Saturation.
IEEE Control. Syst. Lett., 2020

Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration.
IEEE Control. Syst. Lett., 2020

Real-time control of water reservoir operations: a learning-based hierarchical approach.
CoRR, 2020

Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization.
CoRR, 2020

Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments.
Autom., 2020

Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Direct Data-Driven Control with Embedded Anti-Windup Compensation.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Virtual Reference Feedback Tuning with data-driven reference model selection.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Mining the electrification potential of fuel-based vehicles mobility patterns: a data-based approach.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Enhanced kernels for nonparametric identification of a class of nonlinear systems.
Proceedings of the 18th European Control Conference, 2020

Structure selection of noise covariance matrices for linear Kalman filter design.
Proceedings of the 18th European Control Conference, 2020

Direct data-driven design of neural reference governors.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Non-iterative control-oriented regularization for linear system identification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

NAW-NET: neural anti-windup control for saturated nonlinear systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Comfort-Oriented Gear Shifting in City Bicycles.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

On the Drivability of DC Brushless Motors with Faulty Hall Sensors during Braking Maneuvers.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

A data-driven approach for fast controller calibration of Brake-by-Wire actuators.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Explicit Online Least Costly Energy Management for Hybrid Electric Vehicles.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Automatic Detection of Driver Impairment Based on Pupillary Light Reflex.
IEEE Trans. Intell. Transp. Syst., 2019

Nonlinear system identification via data augmentation.
Syst. Control. Lett., 2019

Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design.
Syst. Control. Lett., 2019

Performance-Oriented Model Learning for Data-Driven MPC Design.
IEEE Control. Syst. Lett., 2019

A robust design strategy for stock trading via feedback control.
Proceedings of the 17th European Control Conference, 2019

Automatic driver phone hand-usage detection: A cepstrum-based approach.
Proceedings of the 17th European Control Conference, 2019

Simulation-driven fixed-order controller tuning via moment matching.
Proceedings of the 17th European Control Conference, 2019

Bayesian Kernel-Based Linear Control Design.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Direct Data-Driven Control of Constrained Systems.
IEEE Trans. Control. Syst. Technol., 2018

Data-Driven Inversion-Based Control of Nonlinear Systems With Guaranteed Closed-Loop Stability.
IEEE Trans. Autom. Control., 2018

Data-Driven Inversion-Based Control: closed-loop stability analysis for MIMO systems.
CoRR, 2018

Stock Trading Via Feedback Control: an Extremum Seeking Approach.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

On-Line Data-Based Load Classification in Narrow-Track Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Online power meter calibration for accurate cyclist power control.
Proceedings of the 16th European Control Conference, 2018

Semi-supervised learning of dynamical systems: a preliminary study.
Proceedings of the 16th European Control Conference, 2018

Data-driven control design in the Loewner framework: Dealing with stability and noise.
Proceedings of the 16th European Control Conference, 2018

A constrained extremum-seeking control for CPU thermal management.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

Robust Experiment Design for Virtual Reference Feedback Tuning.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Classification of Light Charged Particles Via Learning-Based System Identification.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Data-Driven Clamping Force Control for an Electric Parking Brake Without Speed Measurement.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

CoRe: Control-oriented Regularization for System Identification.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Least Costly Energy Management for Extended Range Electric Vehicles with Start-Up Characterization.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017
Robust Linear Static Anti-Windup With Probabilistic Certificates.
IEEE Trans. Autom. Control., 2017

Optimal energy management in series hybrid electric bicycles.
Autom., 2017

A vehicle-user matching tool to encourage electric mobility.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Data-driven design of implicit force control for industrial robots.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Anti-sway fixed-order control of bridge cranes with varying rope length.
Proceedings of the IEEE International Conference on Mechatronics, 2017

Data-driven H∞-norm estimation via expert advice.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Tuning regularization via scenario optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
Energy Management System for an Electric Vehicle With a Rental Range Extender: A Least Costly Approach.
IEEE Trans. Intell. Transp. Syst., 2016

Data-Driven Online Speed Optimization in Autonomous Sailboats.
IEEE Trans. Intell. Transp. Syst., 2016

Nonlinear Pressure Control for BBW Systems via Dead-Zone and Antiwindup Compensation.
IEEE Trans. Control. Syst. Technol., 2016

Online wheel speed filtering for periodic disturbance reduction: a strategy for an advanced bicycle application.
CoRR, 2016

Data-driven design of two degree-of-freedom nonlinear controllers: The -IBC approach.
Autom., 2016

Direct learning of LPV controllers from data.
Autom., 2016

Virtual reference feedback tuning with Bayesian regularization.
Proceedings of the 15th European Control Conference, 2016

On data-driven control design for non-minimum-phase plants: A comparative view.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Vehicle stability control via VRFT with probabilistic robustness guarantees.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Modeling rain fields for earth space propagation applications by an autoregressive modeling approach.
Proceedings of the 8th Advanced Satellite Multimedia Systems Conference and the 14th Signal Processing for Space Communications Workshop, 2016

Data-driven attitude control law design for a variable-pitch quadrotor.
Proceedings of the 2016 American Control Conference, 2016

2015
Least costly energy management for series hybrid electric vehicles.
CoRR, 2015

Robust static anti-windup augmentation with probabilistic certificates.
CoRR, 2015

On the prediction of future vehicle locations in free-floating car sharing systems.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Modeling and speed limitation control of an electric kick scooter.
Proceedings of the 14th European Control Conference, 2015

A data-driven approach to nonlinear braking control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Least costly energy management for Electric Vehicles with plug-in Range Extenders.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
A Data-Driven Approach to Control of Batch Processes With an Application to a Gravimetric Blender.
IEEE Trans. Ind. Electron., 2014

${\rm NO}_{\rm x}$ Estimation in Diesel Engines via In-Cylinder Pressure Measurement.
IEEE Trans. Control. Syst. Technol., 2014

Green Move: A Platform for Highly Configurable, Heterogeneous Electric Vehicle Sharing.
IEEE Intell. Transp. Syst. Mag., 2014

Data-driven controller design for nonlinear systems: a two degrees of freedom architecture.
CoRR, 2014

Enhancing statistical performance of data-driven controller tuning via L<sub>2</sub>-regularization.
Autom., 2014

Fault Detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Scenario optimization with certificates and applications to anti-windup design.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Deadzone compensation and anti-windup design for brake-by-wire systems.
Proceedings of the American Control Conference, 2014

On batch process control using feature extraction with application to a gravimetric blender.
Proceedings of the American Control Conference, 2014

On time-optimal anti-sway controller design for bridge cranes.
Proceedings of the American Control Conference, 2014

2013
A Data-Driven Approach to Mixed-Sensitivity Control With Application to an Active Suspension System.
IEEE Trans. Ind. Informatics, 2013

Data-Driven Design of Braking Control Systems.
IEEE Trans. Control. Syst. Technol., 2013

Optimal input design for direct data-driven tuning of model-reference controllers.
Autom., 2013

Active fleet balancing in vehicle sharing systems via Feedback Dynamic Pricing.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Model-based and data-driven model-reference control: A comparative analysis.
Proceedings of the 12th European Control Conference, 2013

Modeling, identification and control of a Boat Parking Assistance system.
Proceedings of the 12th European Control Conference, 2013

Randomized analysis and synthesis of robust linear static anti-windup.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Direct data-driven control of linear parameter-varying systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On L2-regularization for Virtual Reference Feedback Tuning.
Proceedings of the American Control Conference, 2013

Direct data-driven design of sparse controllers.
Proceedings of the American Control Conference, 2013

2012
Direct data-driven control system design : theory and applications.
PhD thesis, 2012

Direct data-driven control of internal combustion engine test benches using closed-loop experiments.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Direct data-driven control of a Diesel engine airpath.
Proceedings of the American Control Conference, 2012

2011
Noniterative data-driven design of multivariable controllers.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Flatness-based control of a quadrotor helicopter via feedforward linearization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
On the experimental protocol in Virtual Reference Feedback Tuning.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Virtual Reference Feedback Tuning of Internal Model Controllers.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Optimal Design of Experiment for the Identification of Throttle-to-slip Dynamics in Two-wheeled Vehicles.
Proceedings of the IEEE International Conference on Control Applications, 2010


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