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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
English
Informazioni
DocenteFormentin Simone
QualificaProfessore associato a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareIINF-04/A - Automatica
Curriculum VitaeScarica il CV (254.6Kb - 25/02/2025)
OrcIDhttps://orcid.org/0000-0001-6889-6219

Contatti
Orario di ricevimentoOrario di ricevimento non ancora disponibile
E-mailsimone.formentin@polimi.it
Pagina web redatta a cura del docentehttp://home.deib.polimi.it/formentin/

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2025 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
Machine learning based car accident risk prediction for usage-based insurance (Mostra >>)
Non-linear multi-objective Bayesian MPC of water reservoir systems (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Brevetti
MISURARE UN CARICO SU UN VEICOLO AGRICOLO (Mostra >>)
Contributo in Atti di convegno
A comparison of indirect and direct filter designs from data for LTI systems: the effect of unknown noise covariance matrices (Mostra >>)
A data-driven approach for integral sliding mode control design (Mostra >>)
Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach (Mostra >>)
Data-driven control of input saturated systems: a LMI-based approach (Mostra >>)
Data-driven explicit predictive control with limited resources: an exploration-based strategy (Mostra >>)
Efficient tuning for motion control in diverse systems: a Bayesian framework (Mostra >>)
From Data to Control: A Two-Stage Simulation-Based Approach (Mostra >>)
In-context learning of state estimators (Mostra >>)
Iterative Feedback Tuning with automated reference model selection (Mostra >>)
Split-Boost Neural Networks (Mostra >>)
Vertical load estimation in tractors via in-wheel optical sensing (Mostra >>)
Articoli su riviste
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models. (Mostra >>)
Joint vehicle state and parameters estimation via twin-in-the-loop observers (Mostra >>)
Model predictive control for multi-period portfolio optimization: a trading-oriented learning approach (Mostra >>)
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study (Mostra >>)
The Twin-in-the-Loop Approach for Vehicle Dynamics Control (Mostra >>)
Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Framework (Mostra >>)
Twin-in-the-loop state estimation for vehicle dynamics control: Theory and experiments (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A practitioner's guide to noise handling strategies in data-driven predictive control (Mostra >>)
Continuous-time modeling of financial returns based on Limit Order Book data (Mostra >>)
Cross-Coupled SLS for pairs trading: an adaptive control approach (Mostra >>)
Dealing with the curse of dimensionality in Twin-in-the-Loop observer design (Mostra >>)
META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization (Mostra >>)
Model-based and Koopman-based predictive control: a braking control systems comparison (Mostra >>)
On queue length estimation in urban traffic intersections via inductive loops (Mostra >>)
On the Impact of Regularization in Data-Driven Predictive Control (Mostra >>)
Practical considerations in reinforcement learning-based MPC for mobile robots* (Mostra >>)
Robust tuning of Twin-in-the-Loop vehicle dynamics controls via randomized optimization (Mostra >>)
Scenario-based model predictive control of water reservoir systems (Mostra >>)
Tuning of subspace predictive controls (Mostra >>)
Uncertainty-aware data-driven predictive control in a stochastic setting (Mostra >>)
Articoli su riviste
Active Preference Learning for Vehicle Suspensions Calibration (Mostra >>)
Auto-tuning of reference models in direct data-driven control (Mostra >>)
AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control (Mostra >>)
Data-Driven Design of Explicit Predictive Controllers With Structural Priors (Mostra >>)
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case (Mostra >>)
Data-Driven Optimal Tuning of BLDC Motors With Safety Constraints: A Set Membership Approach (Mostra >>)
Data-Driven Stabilization of Input-Saturated Systems (Mostra >>)
Data-driven predictive control in a stochastic setting: a unified framework (Mostra >>)
Data‐driven mixed‐sensitivity control with automated weighting functions selection (Mostra >>)
Multi-intersection traffic signal control: A decentralized MPC-based approach (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Integrated real-time control of water reservoirs with deterministic and probabilistic multi-timescale forecasts: Application to the Lake Como (Mostra >>)
Contributo in Atti di convegno
A receding horizon approach for curriculum management in higher education (Mostra >>)
A receding-horizon estimation and control framework for the content sequencing problem (Mostra >>)
Auto-calibration with Stability Margins for Active Damping Control in Electric Drivelines (Mostra >>)
Data-driven design of explicit predictive controllers (Mostra >>)
Experimental assessment of neural networks for tire-road force estimation (Mostra >>)
Hourly operation of a regulated lake via Model Predictive Control (Mostra >>)
Kelly-based stock trading via feedback control (Mostra >>)
Articoli su riviste
A data-driven switching control approach for braking systems with constraints (Mostra >>)
A kernel-based control approach for multi-period assets allocation based on lower partial moments (Mostra >>)
Direct data-driven design of LPV controllers with soft performance specifications (Mostra >>)
Driving Style Assessment System for Agricultural Tractors: Design and Experimental Validation (Mostra >>)
Electrification potential of fuel-based vehicles and optimal placing of charging infrastructure: a large-scale vehicle-telematics approach (Mostra >>)
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems (Mostra >>)
Kernel-based system identification with manifold regularization: A Bayesian perspective (Mostra >>)
Learning-based hierarchical control of water reservoir systems (Mostra >>)
Model predictive control of high-performance braking systems: a force-based approach (Mostra >>)
On optimal gear shifting in city bicycles (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2021 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
Anomaly detection via distributed sensing: A VAR modeling approach (Mostra >>)
Data-driven Mass Estimation in Continuously Variable Transmission Agricultural Tractors (Mostra >>)
Design and Implementation of a MPC-based Rear-Wheel Steering Controller for Sports Cars (Mostra >>)
Direct data-driven LPV control for active braking in aircraft (Mostra >>)
Direct data-driven design of switching controllers for constrained systems (Mostra >>)
Direct data-driven model-reference control with Lyapunov stability guarantees (Mostra >>)
Direct longitudinal force feedback for high-performance vehicle dynamics control systems (Mostra >>)
Force estimation in electro-mechanical systems: theory and experiments (Mostra >>)
Model-based estimation of the line tension in a fishing reel (Mostra >>)
Model-reference design of fixed-order controllers for Brake-By-Wire actuators (Mostra >>)
Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results (Mostra >>)
On Damping Ratio Estimation in Electronic Semi-active Suspensions (Mostra >>)
On data-driven design of LPV controllers with flexible reference models (Mostra >>)
On speed estimation from incremental encoders with tunable error bounds (Mostra >>)
Piecewise nonlinear regression with data augmentation (Mostra >>)
Proper closed-loop specifications for data-driven model-reference control (Mostra >>)
Real-time optimal traffic management in signal-controlled intersections: A receding-horizon approach (Mostra >>)
Articoli su riviste
A note on the numerical solutions of kernel-based learning problems (Mostra >>)
Control-oriented regularization for linear system identification (Mostra >>)
Enhancing skyhook for semi-active suspension control via machine learning (Mostra >>)
Experimental automatic calibration of a semi-active suspension controller via Bayesian Optimization (Mostra >>)
h-TPMS: a hybrid tire pressure monitoring system for road vehicles (Mostra >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
19/04/2025