BEGHI, ALESSANDRO
BEGHI, ALESSANDRO
Dipartimento di Ingegneria dell'Informazione - DEI
Anti-wheelie systems for high-performance motorcycles: A Nonlinear Model Predictive Control approach
2025 Caiaffa, L.; Maran, F.; Furlan, M.; Peron, S.; Beghi, A.; Bruschetta, M.
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing
2024 Sun, X.; Beghi, A.; Susto, G. A.; Lv, Z.
A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes
2023 Picotti, Enrico; Mion, Enrico; DALLA LIBERA, Alberto; Pavlovic, Josip; Censi, Andrea; Frazzoli, Emilio; Beghi, Alessandro; Bruschetta, Mattia
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring
2023 Dalle Pezze, Davide; Deronjic, Denis; Masiero, Chiara; Tosato, Diego; Beghi, Alessandro; Susto, Gian Antonio
Assessment of basic control strategies through dynamic simulations: A CO2-based chiller under extreme off-design conditions
2023 Sisti, E.; Rossetti, A.; Minetto, S.; Marinetti, S.; Tosato, G.; Beghi, A.; Rampazzo, M.
The Sixth IEEE Conference on Control Technology and Applications [Conference Reports]
2023 Beghi, A.; Dabbene, F.
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
2022 Maggipinto, Marco; Beghi, Alessandro; Susto, Gian Antonio
A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios
2022 Picotti, E; Bruschetta, M; Mion, E; Beghi, A
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
2022 Simmini, F.; Rampazzo, M.; Peterle, F.; Susto, G. A.; Beghi, A.
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment
2022 Dalle Pezze, D.; Masiero, C.; Tosato, D.; Beghi, A.; Susto, G. A.
Assessing the contribution of active somatosensory stimulation to self-acceleration perception in dynamic driving simulators
2021 Bruschetta, M.; de Winkel, K. N.; Mion, E.; Pretto, P.; Beghi, A.; Bulthoff, H. H.
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data
2021 Bargellesi, N.; Beghi, A.; Rampazzo, M.; Susto, G. A.
Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images
2021 Arena, S.; Bodrov, Y.; Carletti, M.; Gentner, N.; Maggipinto, M.; Yang, Y.; Beghi, A.; Kyek, A.; Susto, G. A.
Efficient move blocking strategy for multiple shooting-based non-linear model predictive control
2020 Chen, Y.; Scarabottolo, N.; Bruschetta, M.; Beghi, A.
Graph-based modelling and simulation of liquid immersion cooling systems
2020 Lionello, M; Rampazzo, M; Beghi, A; Varagnolo, D; Vesterlund, M
Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle
2020 Bruschetta, M.; Picotti, E.; De Simoi, A.; Chen, Y.; Beghi, A.; Nishimura, M.; Tezuka, Y.; Ambrogi, F.
Subjective Evaluation of Autonomous and Manual Driving in Advanced Simulation
2020 Bacchin, Davide; Pluchino, Patrik; Furlan, Mattia; Minen, Michela; Minen, Diego; Formaggia, Fabio; Bruschetta, Mattia; Beghi, Alessandro; Gamberini, Luciano
A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study
2019 Carletti, Mattia; Masiero, Chiara; Beghi, Alessandro; Susto, GIAN ANTONIO
A real-time, MPC-based Motion Cueing Algorithm with Look-Ahead and driver characterization
2019 Bruschetta, Mattia; Cenedese, Carlo; Beghi, Alessandro
A static moving boundary modelling approach for simulation of indirect evaporative free cooling systems
2019 Rampazzo, M.; Lionello, Michele; Beghi, A.; Sisti, Enrico; Cecchinato, L.