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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)

Professor's office hoursProfessor's office hours is not available yet
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 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Active Preference Learning for Vehicle Suspensions Calibration (Show >>)
Data-Driven Optimal Tuning of BLDC Motors With Safety Constraints: A Set Membership 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 >>)
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 >>)

List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Method for estimating the pressure of the tyres of a vehicle (Show >>)
Conference proceedings
A robust design strategy for stock trading via feedback control (Show >>)
Automatic driver phone hand-usage detection: A cepstrum-based approach (Show >>)
Bayesian Kernel-Based Linear Control Design (Show >>)
Classification of Light Charged Particles Via Learning-Based System Identification (Show >>)
CoRe: Control-oriented Regularization for System Identification (Show >>)
Least Costly Energy Management for Extended-Range Electric Vehicles with Noise Emissions Characterization (Show >>)
On-line Damping Estimation in Road Vehicle Semi-active Suspension Systems (Show >>)
Simulation-driven fixed-order controller tuning via moment matching (Show >>)
Journal Articles
Automatic Detection of Driver Impairment Based on Pupillary Light Reflex (Show >>)
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design (Show >>)
Direct data-driven design of switching controllers (Show >>)
Multivariable Nonlinear Data-Driven Control with Application to Autonomous Vehicle Lateral Dynamics (Show >>)
Nonlinear system identification via data augmentation (Show >>)
Performance-oriented model learning for data-driven mpc design (Show >>)
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Area Servizi ICT