Alessandro Beghi

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 53

Top Venues

CCTA

ECC

CoRR

IEEE Trans. Control. Syst. Technol.

Publications

Xi Sun, Alessandro Beghi, Gian Antonio Susto, Zhimin Lv
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. Comput. Ind. Eng. 196 (2024)
Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE (2024)
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) (2023)
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) (2023)
Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL (2023)
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 (2023)
Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. 124 (2023)
Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Fabiana Federica Ferro, Mirco Rampazzo, Alessandro Beghi
Elastic Shape Analysis for Anomaly Detection in Textile Finishing Time-Series Data. CCTA (2022)
Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Francesco Simmini, Mirco Rampazzo, Fabio Peterle, Gian Antonio Susto, Alessandro Beghi
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. IEEE Trans. Control. Syst. Technol. 30 (4) (2022)
Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR (2022)
Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS (2022)
Elisa Marcelli, Tommaso Barbariol, Vincenzo Savarino, Alessandro Beghi, Gian Antonio Susto
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. LATS (2022)
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)
Gianluca Carraro, Andrea Lazzaretto, Alessandro Beghi, Mirco Rampazzo
Real-time Efficient Operation of a Micro-scale Organic Rankine Cycle Unit via Extremum Seeking Control. CCTA (2022)
Eugenia Anello, Chiara Masiero, Fabiana Federica Ferro, Francesca Ferrari, Bleona Mukaj, Alessandro Beghi, Gian Antonio Susto
Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. CCTA (2022)
Nicolò Bargellesi, Alessandro Beghi, Mirco Rampazzo, Gian Antonio Susto
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics Autom. Lett. 6 (3) (2021)
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) (2021)
Mattia Bruschetta, Luca Caiaffa, Enrico Picotti, Alessandro Beghi
Velocity Aided, Correlated Noise Extended Kalman Filtering for Attitude Estimation: a Motorcycle Case Study. MED (2021)
Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC (2020)
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)
Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC (2019)
Michele Lionello, Mirco Rampazzo, Alessandro Beghi, Damiano Varagnolo, Mattias Vesterlund
Lumped-parameters Control-oriented Gray-box Modelling of Liquid Immersion Cooling Systems. ECC (2019)
Alessandro Beghi, Michele Lionello, Mirco Rampazzo
Efficient Operation of Indirect Evaporative Data Center Cooling Systems via Newton-Like Extremum-Seeking Control. CCTA (2019)
Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. INDIN (2019)
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)
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) (2019)
Yutao Chen, Nicolo Scarabottolo, Mattia Bruschetta, Alessandro Beghi
An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control. CoRR (2019)
Yutao Chen, Mattia Bruschetta, Enrico Picotti, Alessandro Beghi
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. ECC (2019)
Fabiana Federica Ferro, Mirco Rampazzo, Alessandro Beghi
Extremum Seeking-based Optimal Setting of the Air Temperature in Industrial Textile Dryers. ECC (2019)
Gian Antonio Susto, Marco Maggipinto, Giulia Zannon, Fabio Altinier, Elena Pesavento, Alessandro Beghi
Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. ECC (2018)
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)
Mirco Rampazzo, Alessandro Beghi
Designing and teaching of an effective engineering continuing education course: Modeling and simulation of HVAC systems. Comput. Appl. Eng. Educ. 26 (4) (2018)
Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, Elena Pesavento, Alessandro Beghi
A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. CCTA (2018)
Giuliano Zambonin, Fabio Altinier, Lorenzo Corso, Mattia Sessolo, Alessandro Beghi, Gian Antonio Susto
Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. CASE (2018)
Francesco Simmini, Mirco Rampazzo, Alessandro Beghi, Fabio Peterle
Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers. ETFA (2018)
Yutao Chen, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. CoRR (2018)
Mirco Rampazzo, Michele Lionello, Fernando Carpignani Panebianco, Alessandro Beghi
Model-Free Control of Data Center Compressor-Based Cooling Systems. RTSI (2018)
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) (2018)
Alessandro Beghi, Giuseppe Dalla Mana, Michele Lionello, Mirco Rampazzo
Data-Driven Supervisory Control of Indirect Adiabatic Cooling Systems. CCTA (2018)
Yutao Chen, Mattia Bruschetta, Enrico Picotti, Alessandro Beghi
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. CoRR (2018)
Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI (2017)
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) (2017)
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)
Alessandro Beghi, Giuseppe Dalla Mana, Michele Lionello, Mirco Rampazzo, Enrico Sisti
Energy-efficient operation of an indirect adiabatic cooling system for data centers. ACC (2017)
Mirco Rampazzo, Andrea Cervato, Alessandro Beghi
Remote refrigeration system experiments for control engineering education. Comput. Appl. Eng. Educ. 25 (3) (2017)
Alessandro Beghi, Michele Lionello, Mirco Rampazzo
Energy-efficient management of a wood industry facility. CCTA (2017)
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)
Davide Cuccato, Alessandro Saccon, Antonello Ortolan, Alessandro Beghi
Computing Laser Beam Paths in Optical Cavities: An Approach Based on Geometric Newton Method. J. Optim. Theory Appl. 171 (1) (2016)
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)
Davide Cuccato, Antonello Ortolan, Alessandro Beghi, Alessandro Saccon
The impact of resonator geometry on RLG performances. CCA (2016)
Gian Antonio Susto, Alessandro Beghi
Dealing with time-series data in Predictive Maintenance problems. ETFA (2016)
Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Seán F. McLoone, Alessandro Beghi
Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Trans. Ind. Informatics 11 (3) (2015)
Gian Antonio Susto, Simone Pampuri, Andrea Schirru, Alessandro Beghi, Giuseppe De Nicolao
Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Comput. Oper. Res. 53 (2015)
Alessandro Beghi, Riccardo Brignoli, Luca Cecchinato, Gabriele Menegazzo, Mirco Rampazzo
A data-driven approach for fault diagnosis in HVAC chiller systems. CCA (2015)
Alessandro Beghi, Luca Cecchinato, Marco Lissandrin, Mirco Rampazzo
Oil-free centrifugal chiller optimal operation. CCA (2014)
Alessandro Beghi, Fabio Marcuzzi, Mirco Rampazzo, Marco Virgulin
Enhancing the Simulation-Centric Design of Cyber-Physical and Multi-physics Systems through Co-simulation. DSD (2014)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Efficient algorithms for the reconstruction and prediction of atmospheric turbulence in AO systems. ECC (2014)
Mattia Bruschetta, Fabio Maran, Alessandro Beghi
A non-linear MPC based Motion Cueing implementation for a 9 DOFs dynamic simulator platform. CDC (2014)
Alessandro Beghi, Luca Cecchinato, Lorenzo Corso, Mirco Rampazzo, Francesco Simmini
Process history-based Fault Detection and Diagnosis for VAVAC systems. CCA (2013)
Alessandro Beghi, Mattia Bruschetta, Fabio Maran
A Real-Time Implementation of an MPC-Based Motion Cueing Strategy with Time-Varying Prediction. SMC (2013)
Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Daniele Pagano, Seán F. McLoone, Alessandro Beghi
A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. CASE (2013)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
On the estimation of atmospheric turbulence layers for AO systems. ECC (2013)
Alessandro Beghi, Luca Cecchinato, Mirco Rampazzo, Francesco Simmini
Modeling and control of HVAC systems with ice Cold Thermal Energy Storage. CDC (2013)
Alessandro Saccon, John Hauser, Alessandro Beghi
A Virtual Rider for Motorcycles: Maneuver Regulation of a Multi-Body Vehicle Model. IEEE Trans. Control. Syst. Technol. 21 (2) (2013)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Turbulence modeling and Kalman prediction for the control of large AO systems. CDC (2013)
Gian Antonio Susto, Seán F. McLoone, Daniele Pagano, Andrea Schirru, Simone Pampuri, Alessandro Beghi
Prediction of integral type failures in semiconductor manufacturing through classification methods. ETFA (2013)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
On the computation of Kalman gain in large adaptive optics systems. MED (2013)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Multiscale phase screens synthesis based on local PCA. ICCA (2013)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Nonstationary turbulence simulation with an efficient multiscale approach. CCA (2012)
Gian Antonio Susto, Alessandro Beghi
Least angle regression for semiconductor manufacturing modeling. CCA (2012)
Alessandro Beghi, Mattia Bruschetta, Fabio Maran
A real time implementation of MPC based Motion Cueing strategy for driving simulators. CDC (2012)
Simone Pampuri, Andrea Schirru, Gian Antonio Susto, Cristina De Luca, Alessandro Beghi, Giuseppe De Nicolao
Multistep virtual metrology approaches for semiconductor manufacturing processes. CASE (2012)
Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao, Alessandro Beghi
An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. CASE (2012)
Alessandro Saccon, John Hauser, Alessandro Beghi
Trajectory Exploration of a Rigid Motorcycle Model. IEEE Trans. Control. Syst. Technol. 20 (2) (2012)
Alessandro Beghi, Luca Cecchinato, Fabio Paggiaro, Mirco Rampazzo
VAVAC systems modeling and simulation for FDD applications. ICCA (2011)
Alessandro Beghi, Luca Cecchinato, Mirco Rampazzo
Thermal and comfort control for radiant heating/cooling systems. CCA (2011)
Gian Antonio Susto, Alessandro Beghi, Cristina De Luca
A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. ETFA (2011)
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)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
A multiscale stochastic approach for phase screens synthesis. ACC (2011)
Gian Antonio Susto, Alessandro Beghi, Cristina De Luca
A Predictive Maintenance System for Silicon Epitaxial Deposition. CASE (2011)
Alessandro Beghi, Luca Cecchinato, Giovanni Cosi, Mirco Rampazzo
Two-layer Control of Multi-chiller Systems. CCA (2010)
Silverio Bolognani, Francesco Gambato, Mirco Rampazzo, Alessandro Beghi
Efficient Conditioning of Energy in AFE-based Distributed Generation Units. CCA (2010)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Estimating turbulent phase characteristics in MCAO systems. CDC (2010)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Algorithms for turbulence compensation in large adaptive optics systems. CDC (2009)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
On the estimation of atmospheric turbulence statistical characteristics. CCA/ISIC (2009)
Alessandro Beghi, Angelo Cenedese, Fabio Maran, Andrea Masiero
A comparison of Kalman filter based algorithms for turbulent phase control in an adaptive optics system. CDC (2008)
Alessandro Beghi, Mario Cavinato, Angelo Cenedese
Nonlinear dynamic modeling for control of fusion devices. CDC (2008)
Alessandro Beghi, Umberto Bianchini, Cristian Bodo, Luca Cecchinato
A simulation environment for dry-expansion evaporators with application to the design of autotuning control algorithms for electronic. CASE (2008)
Michele Albieri, Alessandro Beghi, Cristian Bodo, Luca Cecchinato
A Simulation Environment for the Design of Advanced Chiller Control Systems. CASE (2007)
Alessandro Beghi, Marco Liberati, Sergio Mezzalira, Stivi Peron
Grey-box modeling of a motorcycle shock absorber for virtual prototyping applications. Simul. Model. Pract. Theory 15 (8) (2007)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
A comparison between Zernike and PCA representation of atmospheric turbulence. CDC (2007)
Alessandro Beghi, Angelo Cenedese, Andrea Masiero
Atmospheric turbulence prediction: A PCA approach. CDC (2007)
Alessandro Beghi, Marco Liberati, Stivi Peron, Davide Sette
Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications. CASE (2006)
Alessandro Beghi, Lorenzo Nardo, Marco Stevanato
Observer-based discrete-time sliding mode throttle control for drive-by-wire operation of a racing motorcycle engine. IEEE Trans. Control. Syst. Technol. 14 (4) (2006)
Mario Cavinato, G. Marchiori, A. Soppelsa, Alessandro Beghi, Angelo Cenedese
MHD modes control in fusion devices. CDC (2006)
Alessandro Beghi, Lorenzo Nardo, Marco Stevanato
A Sliding Mode Throttle Controller for Drive-By-Wire Operation of a Racing Motorcycle Engine. ISIC (2005)
Angelo Cenedese, Alessandro Beghi, S. Simionato
Controlling Curves on the Plane: An Approach to Shape Control in Fusion Devices. ISIC (2005)
Luca Gasbarro, Alessandro Beghi, Ruggero Frezza, Francesco Nori, Christian Spagnol
Motorcycle trajectory reconstruction by integration of vision and MEMS accelerometers. CDC (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Beghi