BEGHI, ALESSANDRO
BEGHI, ALESSANDRO
Dipartimento di Ingegneria dell'Informazione - DEI
A note on discrete-time observer-based integral sliding mode predictive control
In corso di stampa Romano, M.; Beghi, A.; Bruschetta, M.
Regional Isolation Forest: A Novel Approach for Enhanced Anomaly Detection and Interpretability
In corso di stampa Sun, X.; Beghi, A.; Susto, G. A.; Zhou, T.; Zhuo, Y.; Lv, Z.
Augmented Pure Pursuit for High-Performance Path Tracking in Formula Driverless
2026 Gallina, A.; Bisson, E.; Beghi, A.; Bruschetta, M.
Modeling and Simulation of Vapor Compression Systems Using a Graph-Based Toolbox
2026 Sisti, E.; Rampazzo, M.; Beghi, A.
Physics-Seeded Cascaded Refinement-Inference Network for Timeseries Prediction of Dual-Valve Heave Compensators with Parameter Variations
2026 Yi, B.; Bruschetta, M.; Beghi, A.; Xu, J.
Real-Time Optimisation of a Data Center Free-Cooling System via Dither-Free Least-Squares Extremum Seeking
2026 Hajaltoom, L. E.; Bregolato, S.; Sisti, E.; Lionello, M.; Beghi, A.; Rampazzo, M.
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.
An AI-Enabled Framework for Smart Semiconductor Manufacturing
2024 Alamin, K. S. S.; Appello, D.; Beghi, A.; Dall'Ora, N.; Depaoli, F.; Di Cataldo, S.; Fummi, F.; Gaiardelli, S.; Lora, M.; Macii, E.; Mascolini, A.; Pagano, D.; Ponzio, F.; Susto, G. A.; Vinco, S.
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
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
2023 Dalle Pezze, D.; Deronjic, D.; Masiero, C.; Tosato, D.; Beghi, A.; Susto, G. A.
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.
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper
2023 Beghi, Alessandro; Dall'Ora, Nicola; Dalle Pezze, Davide; Fummi, Franco; Masiero, Chiara; Spellini, Stefano; Susto, Gian Antonio; Tosoni, Francesco
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 Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points
2022 Marcelli, Elisa; Barbariol, Tommaso; Savarino, Vincenzo; Beghi, Alessandro; Susto, Gian Antonio
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
2022 Simmini, F.; Rampazzo, M.; Peterle, F.; Susto, G. A.; Beghi, A.
Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis
2022 Anello, Eugenia; Masiero, Chiara; Ferro, Fabiana; Ferrari, Francesca; Mukaj, Bleona; Beghi, Alessandro; Susto, Gian Antonio