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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorFormentin Simone
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/04 - Systems And Control Engineering
Curriculum VitaeDownload CV (245.0Kb - 12/05/2023)
OrcIDhttps://orcid.org/0000-0001-6889-6219

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Professor's office hoursProfessor's office hours is not available yet
E-mailsimone.formentin@polimi.it
Professor's personal websitehttp://home.deib.polimi.it/formentin/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2024
No product yet registered in the year 2024


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A practitioner's guide to noise handling strategies in data-driven predictive control (Show >>)
Continuous-time modeling of financial returns based on Limit Order Book data (Show >>)
Cross-Coupled SLS for pairs trading: an adaptive control approach (Show >>)
Dealing with the curse of dimensionality in Twin-in-the-Loop observer design (Show >>)
Model-based and Koopman-based predictive control: a braking control systems comparison (Show >>)
On queue length estimation in urban traffic intersections via inductive loops (Show >>)
Practical considerations in reinforcement learning-based MPC for mobile robots* (Show >>)
Robust tuning of Twin-in-the-Loop vehicle dynamics controls via randomized optimization (Show >>)
Scenario-based model predictive control of water reservoir systems (Show >>)
Tuning of subspace predictive controls (Show >>)
Uncertainty-aware data-driven predictive control in a stochastic setting (Show >>)
Journal Articles
Active Preference Learning for Vehicle Suspensions Calibration (Show >>)
Auto-tuning of reference models in direct data-driven control (Show >>)
AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control (Show >>)
Data-Driven Design of Explicit Predictive Controllers With Structural Priors (Show >>)
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case (Show >>)
Data-Driven Optimal Tuning of BLDC Motors With Safety Constraints: A Set Membership Approach (Show >>)
Data-Driven Stabilization of Input-Saturated Systems (Show >>)
Data-driven predictive control in a stochastic setting: a unified framework (Show >>)
Data‐driven mixed‐sensitivity control with automated weighting functions selection (Show >>)
Joint vehicle state and parameters estimation via twin-in-the-loop observers (Show >>)
Multi-intersection traffic signal control: A decentralized MPC-based approach (Show >>)
The Twin-in-the-Loop Approach for Vehicle Dynamics Control (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Integrated real-time control of water reservoirs with deterministic and probabilistic multi-timescale forecasts: Application to the Lake Como (Show >>)
Conference proceedings
A receding horizon approach for curriculum management in higher education (Show >>)
A receding-horizon estimation and control framework for the content sequencing problem (Show >>)
Auto-calibration with Stability Margins for Active Damping Control in Electric Drivelines (Show >>)
Data-driven design of explicit predictive controllers (Show >>)
Experimental assessment of neural networks for tire-road force estimation (Show >>)
Hourly operation of a regulated lake via Model Predictive Control (Show >>)
Kelly-based stock trading via feedback control (Show >>)
Journal Articles
A data-driven switching control approach for braking systems with constraints (Show >>)
A kernel-based control approach for multi-period assets allocation based on lower partial moments (Show >>)
Direct data-driven design of LPV controllers with soft performance specifications (Show >>)
Driving Style Assessment System for Agricultural Tractors: Design and Experimental Validation (Show >>)
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems (Show >>)
Kernel-based system identification with manifold regularization: A Bayesian perspective (Show >>)
Learning-based hierarchical control of water reservoir systems (Show >>)
Model predictive control of high-performance braking systems: a force-based approach (Show >>)
On optimal gear shifting in city bicycles (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Anomaly detection via distributed sensing: A VAR modeling approach (Show >>)
Data-driven Mass Estimation in Continuously Variable Transmission Agricultural Tractors (Show >>)
Design and Implementation of a MPC-based Rear-Wheel Steering Controller for Sports Cars (Show >>)
Direct data-driven LPV control for active braking in aircraft (Show >>)
Direct data-driven design of switching controllers for constrained systems (Show >>)
Direct data-driven model-reference control with Lyapunov stability guarantees (Show >>)
Direct longitudinal force feedback for high-performance vehicle dynamics control systems (Show >>)
Force estimation in electro-mechanical systems: theory and experiments (Show >>)
Model-based estimation of the line tension in a fishing reel (Show >>)
Model-reference design of fixed-order controllers for Brake-By-Wire actuators (Show >>)
Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results (Show >>)
On Damping Ratio Estimation in Electronic Semi-active Suspensions (Show >>)
On data-driven design of LPV controllers with flexible reference models (Show >>)
On speed estimation from incremental encoders with tunable error bounds (Show >>)
Piecewise nonlinear regression with data augmentation (Show >>)
Proper closed-loop specifications for data-driven model-reference control (Show >>)
Real-time optimal traffic management in signal-controlled intersections: A receding-horizon approach (Show >>)
Journal Articles
Control-oriented regularization for linear system identification (Show >>)
Electrification potential of fuel-based vehicles and optimal placing of charging infrastructure: a large-scale vehicle-telematics approach (Show >>)
Enhancing skyhook for semi-active suspension control via machine learning (Show >>)
Experimental automatic calibration of a semi-active suspension controller via Bayesian Optimization (Show >>)
h-TPMS: a hybrid tire pressure monitoring system for road vehicles (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A data-driven approach for fast controller calibration of Brake-by-Wire actuators (Show >>)
Comfort-oriented gear shifting in city bicycles (Show >>)
Data-driven on-line load monitoring in garbage trucks (Show >>)
Direct data-driven design of neural reference governors (Show >>)
Enhanced kernels for nonparametric identification of a class of nonlinear systems (Show >>)
Explicit online least costly energy management for hybrid electric vehicles (Show >>)
Mining the electrification potential of fuel-based vehicles mobility patterns: A data-based approach (Show >>)
Modeling and prediction for optimal Human Resources Management (Show >>)
NAW-NET: Neural anti-windup control for saturated nonlinear systems (Show >>)
Non-iterative control-oriented regularization for linear system identification (Show >>)
On Strict Dissipativity of Systems Modeled by Convex Difference Inclusions: Theory and Application to Hybrid Electric Vehicles (Show >>)
On the drivability of DC brushless motors with faulty hall sensors during braking maneuvers (Show >>)
On the real range-need of electric cars: a telematic-box data-driven analysis (Show >>)
Robust force control for brake-by-wire actuators via scenario optimization (Show >>)
Semi-Active Suspension Control Design via Bayesian Optimization (Show >>)
Structure Selection of Noise Covariance Matrices for Linear Kalman Filter Design (Show >>)
Journal Articles
A note on the numerical solutions of kernel-based learning problems (Show >>)
Asymmetric State Feedback for Linear Plants With Asymmetric Input Saturation (Show >>)
Data-driven stock trading in financial markets: an adaptive control approach (Show >>)
Economic MPC for online least costly energy management of hybrid electric vehicles (Show >>)
Least costly energy management for extended-range electric vehicles: An economic optimization framework (Show >>)
Mixed data-driven and model-based robot implicit force control: a hierarchical approach (Show >>)
Process noise covariance estimation via stochastic approximation (Show >>)
Torque vectoring for high-performance electric vehicles: an efficient MPC calibration (Show >>)
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments (Show >>)
fierClass: A multi-signal, cepstrum-based, time series classifier (Show >>)
manifesti v. 3.5.17 / 3.5.17
Area Servizi ICT
17/04/2024