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Enrico Picotti
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2020 – today
- 2023
- [j4]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) - [j3]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) - [c8]Josias Rühle, Enrico Picotti, Mattia Bruschetta:
Learning-based Nonlinear Model Predictive Control for a High Performance Virtual Driver. CCTA 2023: 438-444 - [i2]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
- [c7]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 - [c6]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 - [c5]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
- [j2]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) - [j1]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) - [c4]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
- [c3]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
- [c2]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 - [c1]Yutao Chen, Mattia Bruschetta
, Enrico Picotti
, Alessandro Beghi:
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. ECC 2019: 3365-3370 - 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)
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