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2020 – today
- 2024
[i5]Antonio Gallina, Matteo Grandin, Angelo Cenedese, Mattia Bruschetta:
A Sim-to-Real Vision-based Lane Keeping System for a 1:10-scale Autonomous Vehicle. CoRR abs/2409.18097 (2024)- 2023
- [j11]Edoardo Faggionato
, Alessandro Guazzo, Elena Pegolo, Ruggero Carli, Mattia Bruschetta, Simone Del Favero:
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin. IEEE Trans. Biomed. Eng. 70(9): 2667-2678 (2023) - [j10]Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta:
A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. IEEE Trans. Control. Syst. Technol. 31(5): 2055-2065 (2023) - [j9]Enrico Picotti, Mattia Bruschetta, Enrico Mion, Alessandro Beghi:
A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 204-215 (2023) - [c20]Beniamino Pozzan, Giulio Giacomuzzo, Mattia Bruschetta, Ruggero Carli, Angelo Cenedese:
Motor-level Nonlinear Model Predictive Control for a Tilting Quadrotor. CCTA 2023: 281-286 - [c19]Josias Rühle, Enrico Picotti, Mattia Bruschetta:
Learning-based Nonlinear Model Predictive Control for a High Performance Virtual Driver. CCTA 2023: 438-444 - [c18]Luca Caiaffa, Fabio Maran, Stivi Peron, Mattia Bruschetta:
Motorcycle longitudinal and lateral state estimation via Kalman filtering. MetroAutomotive 2023: 175-180 - [c17]Leonardo Serena, Basilio Lenzo, Mattia Bruschetta, Ricardo Pinto de Castro:
Computer vision approaches for vehicle sideslip angle estimation. MetroAutomotive 2023: 181-186 - [i4]Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta:
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes. CoRR abs/2305.17949 (2023) - 2022
- [j8]Andrea Favato, Paolo Gherardo Carlet, Francesco Toso, Riccardo Torchio, Ludovico Ortombina, Mattia Bruschetta, Ruggero Carli, Piergiorgio Alotto, Silverio Bolognani, José Rodríguez:
Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives. IEEE Access 10: 17430-17440 (2022) - [c16]Enrico Picotti, Luca Facin, Alessandro Beghi, Masatsugu Nishimura, Yoshitaka Tezuka, Francesco Ambrogi, Mattia Bruschetta:
Data-driven Tuning of a NMPC Controller for a Virtual Motorcycle through Genetic Algorithm. CCTA 2022: 1222-1227 - [c15]Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta:
Continuous- Time Acceleration Modeling through Gaussian Processes for Learning-based Nonlinear Model Predictive Control. CCTA 2022: 1228-1233 - [c14]Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta:
LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control. ECC 2022: 736-742 - 2021
- [j7]Alessandro Zanardi, Enrico Mion, Mattia Bruschetta, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria. IEEE Robotics Autom. Lett. 6(3): 4978-4985 (2021) - [j6]Aleksandr Sakhnevych, Vincenzo Maria Arricale, Mattia Bruschetta, Andrea Censi, Enrico Mion, Enrico Picotti, Emilio Frazzoli:
Investigation on the Model-Based Control Performance in Vehicle Safety Critical Scenarios with Varying Tyre Limits. Sensors 21(16): 5372 (2021) - [j5]Mattia Bruschetta, Enrico Picotti, Andrea De Simoi, Yutao Chen, Alessandro Beghi, Masatsugu Nishimura, Yoshitaka Tezuka, Francesco Ambrogi:
Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle. IEEE Trans. Control. Syst. Technol. 29(5): 2214-2222 (2021) - [c13]Mattia Bruschetta, Luca Caiaffa, Enrico Picotti, Alessandro Beghi:
Velocity Aided, Correlated Noise Extended Kalman Filtering for Attitude Estimation: a Motorcycle Case Study. MED 2021: 305-310 - 2020
- [c12]Enrico Picotti, Mattia Bruschetta, Yutao Chen, Alessandro Beghi, Masatsugu Nishimura, Yoshitaka Tezuka, Francesco Ambrogi:
Design and implementation of a high-performance, nonlinear MPC-based virtual motorcycle rider. ECC 2020: 706-711
2010 – 2019
- 2019
- [j4]Yutao Chen, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi:
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 64(7): 2712-2726 (2019) - [c11]Mattia Bruschetta, Enrico Picotti, Enrico Mion, Yutao Chen, Alessandro Beghi, Diego Minen:
A Nonlinear Model Predictive Control based Virtual Driver for high performance driving. CCTA 2019: 9-14 - [c10]Yutao Chen, Mattia Bruschetta, Enrico Picotti, Alessandro Beghi:
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. ECC 2019: 3365-3370 - [c9]Enrica Rossi, Mattia Bruschetta, Ruggero Carli, Yutao Chen, Marcello Farina:
Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. ECC 2019: 3996-4001 - [i3]Yutao Chen, Nicolo Scarabottolo, Mattia Bruschetta, Alessandro Beghi:
An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control. CoRR abs/1909.09710 (2019) - 2018
- [j3]Mattia Bruschetta, Carlo Cenedese, Alessandro Beghi, Fabio Maran:
A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics. IEEE Trans. Hum. Mach. Syst. 48(1): 6-16 (2018) - [c8]Mattia Bruschetta, Yutao Chen, Daniel Cunico, Enrico Mion, Alessandro Beghi:
A nonlinear MPC based motion cueing strategy for a high performance driving simulator with active seat. AMC 2018: 23-28 - [i2]Yutao Chen, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi:
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. CoRR abs/1808.00877 (2018) - [i1]Yutao Chen, Mattia Bruschetta, Enrico Picotti, Alessandro Beghi:
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. CoRR abs/1811.08761 (2018) - 2017
- [j2]Mattia Bruschetta, Fabio Maran, Alessandro Beghi:
A Nonlinear, MPC-Based Motion Cueing Algorithm for a High-Performance, Nine-DOF Dynamic Simulator Platform. IEEE Trans. Control. Syst. Technol. 25(2): 686-694 (2017) - [c7]Yutao Chen, Davide Cuccato, Mattia Bruschetta, Alessandro Beghi:
A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems. AIM 2017: 1780-1785 - [c6]Yutao Chen, Davide Cuccato, Mattia Bruschetta, Alessandro Beghi:
An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity. CDC 2017: 4382-4387 - 2016
- [c5]Fabio Maran, Mattia Bruschetta, Alessandro Beghi:
Study of a real-time, MPC based motion cueing procedure with time-varying prediction for different classes of drivers. ACC 2016: 1711-1716 - 2014
- [j1]Mattia Bruschetta, Giorgio Picci, Alessandro Saccon:
A variational integrators approach to second order modeling and identification of linear mechanical systems. Autom. 50(3): 727-736 (2014) - [c4]Mattia Bruschetta, Fabio Maran, Alessandro Beghi:
A non-linear MPC based Motion Cueing implementation for a 9 DOFs dynamic simulator platform. CDC 2014: 2517-2522 - 2013
- [c3]Alessandro Beghi, Mattia Bruschetta, Fabio Maran:
A Real-Time Implementation of an MPC-Based Motion Cueing Strategy with Time-Varying Prediction. SMC 2013: 4149-4154 - 2012
- [c2]Alessandro Beghi, Mattia Bruschetta, Fabio Maran:
A real time implementation of MPC based Motion Cueing strategy for driving simulators. CDC 2012: 6340-6345 - 2011
- [c1]Mauro Baseggio, Alessandro Beghi, Mattia Bruschetta, Fabio Maran, Diego Minen:
An MPC approach to the design of motion cueing algorithms for driving simulators. ITSC 2011: 692-697
Coauthor Index
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