An MPC approach to the design of motion cueing algorithms for driving simulators. - Mauro Baseggio; Alessandro Beghi; Mattia Bruschetta; Fabio Maran; Diego Minen (ITSC, 2011)

A real time implementation of MPC based Motion Cueing strategy for driving simulators. - Alessandro Beghi; Mattia Bruschetta; Fabio Maran (CDC, 2012)

A Real-Time Implementation of an MPC-Based Motion Cueing Strategy with Time-Varying Prediction. - Alessandro Beghi; Mattia Bruschetta; Fabio Maran (SMC, 2013)

A non-linear MPC based Motion Cueing implementation for a 9 DOFs dynamic simulator platform. - Mattia Bruschetta; Fabio Maran; Alessandro Beghi (CDC, 2014)

A variational integrators approach to second order modeling and identification of linear mechanical systems. - Mattia Bruschetta; Giorgio Picci; Alessandro Saccon (Autom., 2014)

Study of a real-time, MPC based motion cueing procedure with time-varying prediction for different classes of drivers. - Fabio Maran; Mattia Bruschetta; Alessandro Beghi (ACC, 2016)

A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems. - Yutao Chen; Davide Cuccato; Mattia Bruschetta; Alessandro Beghi (AIM, 2017)

An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity. - Yutao Chen; Davide Cuccato; Mattia Bruschetta; Alessandro Beghi (CDC, 2017)

A Nonlinear, MPC-Based Motion Cueing Algorithm for a High-Performance, Nine-DOF Dynamic Simulator Platform. - Mattia Bruschetta; Fabio Maran; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2017)

A nonlinear MPC based motion cueing strategy for a high performance driving simulator with active seat. - Mattia Bruschetta; Yutao Chen; Daniel Cunico; Enrico Mion; Alessandro Beghi (AMC, 2018)

A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics. - Mattia Bruschetta; Carlo Cenedese; Alessandro Beghi; Fabio Maran (IEEE Trans. Hum. Mach. Syst., 2018)

A Nonlinear Model Predictive Control based Virtual Driver for high performance driving. - Mattia Bruschetta; Enrico Picotti; Enrico Mion; Yutao Chen; Alessandro Beghi; Diego Minen (CCTA, 2019)

MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. - Yutao Chen; Mattia Bruschetta; Enrico Picotti; Alessandro Beghi (ECC, 2019)

Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. - Enrica Rossi; Mattia Bruschetta; Ruggero Carli; Yutao Chen; Marcello Farina (ECC, 2019)

An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control. - Yutao Chen; Nicolo Scarabottolo; Mattia Bruschetta; Alessandro Beghi (CoRR, 2019)

An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. - Yutao Chen; Mattia Bruschetta; Davide Cuccato; Alessandro Beghi (IEEE Trans. Autom. Control., 2019)

Design and implementation of a high-performance, nonlinear MPC-based virtual motorcycle rider. - Enrico Picotti; Mattia Bruschetta; Yutao Chen; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi (ECC, 2020)

Velocity Aided, Correlated Noise Extended Kalman Filtering for Attitude Estimation: a Motorcycle Case Study. - Mattia Bruschetta; Luca Caiaffa; Enrico Picotti; Alessandro Beghi (MED, 2021)

Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria. - Alessandro Zanardi; Enrico Mion; Mattia Bruschetta; Saverio Bolognani; Andrea Censi; Emilio Frazzoli (IEEE Robotics Autom. Lett., 2021)

Investigation on the Model-Based Control Performance in Vehicle Safety Critical Scenarios with Varying Tyre Limits. - Aleksandr Sakhnevych; Vincenzo Maria Arricale; Mattia Bruschetta; Andrea Censi; Enrico Mion; Enrico Picotti; Emilio Frazzoli (Sensors, 2021)

Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle. - Mattia Bruschetta; Enrico Picotti; Andrea De Simoi; Yutao Chen; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi (IEEE Trans. Control. Syst. Technol., 2021)

Data-driven Tuning of a NMPC Controller for a Virtual Motorcycle through Genetic Algorithm. - Enrico Picotti; Luca Facin; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi; Mattia Bruschetta (CCTA, 2022)

Continuous- Time Acceleration Modeling through Gaussian Processes for Learning-based Nonlinear Model Predictive Control. - Enrico Picotti; Alberto Dalla Libera; Ruggero Carli; Mattia Bruschetta (CCTA, 2022)

LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control. - Enrico Picotti; Alberto Dalla Libera; Ruggero Carli; Mattia Bruschetta (ECC, 2022)

Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives. - Andrea Favato; Paolo Gherardo Carlet; Francesco Toso; Riccardo Torchio; Ludovico Ortombina; Mattia Bruschetta; Ruggero Carli; Piergiorgio Alotto; Silverio Bolognani; José Rodríguez 001 (IEEE Access, 2022)

Motor-level Nonlinear Model Predictive Control for a Tilting Quadrotor. - Beniamino Pozzan; Giulio Giacomuzzo; Mattia Bruschetta; Ruggero Carli; Angelo Cenedese (CCTA, 2023)

Learning-based Nonlinear Model Predictive Control for a High Performance Virtual Driver. - Josias Rühle; Enrico Picotti; Mattia Bruschetta (CCTA, 2023)

Motorcycle longitudinal and lateral state estimation via Kalman filtering. - Luca Caiaffa; Fabio Maran; Stivi Peron; Mattia Bruschetta (MetroAutomotive, 2023)

Computer vision approaches for vehicle sideslip angle estimation. - Leonardo Serena; Basilio Lenzo; Mattia Bruschetta; Ricardo Pinto de Castro (MetroAutomotive, 2023)

A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios. - Enrico Picotti; Mattia Bruschetta; Enrico Mion; Alessandro Beghi (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin. - Edoardo Faggionato; Alessandro Guazzo; Elena Pegolo; Ruggero Carli; Mattia Bruschetta; Simone Del Favero (IEEE Trans. Biomed. Eng., 2023)

A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. - Enrico Picotti; Enrico Mion; Alberto Dalla Libera; Josip Pavlovic; Andrea Censi; Emilio Frazzoli; Alessandro Beghi; Mattia Bruschetta (IEEE Trans. Control. Syst. Technol., 2023)

A Sim-to-Real Vision-based Lane Keeping System for a 1:10-scale Autonomous Vehicle. - Antonio Gallina; Matteo Grandin; Angelo Cenedese; Mattia Bruschetta (CoRR, 2024)

A camera-based methodology to measure longitudinal and lateral velocity of vehicle passenger cars. - Leonardo Serena; Giovanni Righetti; Marco Cortese; Mattia Bruschetta; Basilio Lenzo (J. Frankl. Inst., 2025)

Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation. - Mattia Scarpa; Francesco Pase; Ruggero Carli; Mattia Bruschetta; Francesco Toso (CoRR, 2025)