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2020 – today
- 2024
- [j26]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: 110466 (2024) - [c77]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: 1-6 - 2023
- [j25]Davide Dalle Pezze
, Denis Deronjic, Chiara Masiero
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. 124: 106610 (2023) - [j24]Enrico Picotti
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) - [j23]Enrico Picotti
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) - [c76]Alessandro Beghi, Nicola Dall'Ora
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL 2023: 1-8 - [i5]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
- [j22]Marco Maggipinto, Alessandro Beghi
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): 1477-1490 (2022) - [j21]Davide Dalle Pezze, Chiara Masiero
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. 19(3): 1491-1502 (2022) - [j20]Francesco Simmini
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. IEEE Trans. Control. Syst. Technol. 30(4): 1359-1374 (2022) - [c75]Fabiana Federica Ferro, Mirco Rampazzo, Alessandro Beghi:
Elastic Shape Analysis for Anomaly Detection in Textile Finishing Time-Series Data. CCTA 2022: 82-88 - [c74]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: 433-438 - [c73]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 - [c72]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: 1366-1371 - [c71]Khaled Sidahmed Sidahmed Alamin
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS 2022: 1-6 - [c70]Elisa Marcelli, Tommaso Barbariol
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. LATS 2022: 1-5 - [d1]Diego Tosato
Alarm Logs in Packaging Industry (ALPI). IEEE DataPort, 2022 - [i4]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 abs/2208.04227 (2022) - 2021
- [j19]Nicolò Bargellesi, Alessandro Beghi
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics Autom. Lett. 6(3): 6100-6107 (2021) - [j18]Mattia Bruschetta
Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle. IEEE Trans. Control. Syst. Technol. 29(5): 2214-2222 (2021) - [c69]Mattia Bruschetta
Velocity Aided, Correlated Noise Extended Kalman Filtering for Attitude Estimation: a Motorcycle Case Study. MED 2021: 305-310 - 2020
- [c68]Enrico Picotti, Mattia Bruschetta
Design and implementation of a high-performance, nonlinear MPC-based virtual motorcycle rider. ECC 2020: 706-711 - [c67]Mattia Carletti
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC 2020: 1875-1885
2010 – 2019
- 2019
- [j17]Yutao Chen
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 64(7): 2712-2726 (2019) - [c66]Mattia Bruschetta
A Nonlinear Model Predictive Control based Virtual Driver for high performance driving. CCTA 2019: 9-14 - [c65]Alessandro Beghi, Michele Lionello, Mirco Rampazzo:
Efficient Operation of Indirect Evaporative Data Center Cooling Systems via Newton-Like Extremum-Seeking Control. CCTA 2019: 424-429 - [c64]Fabiana Federica Ferro, Mirco Rampazzo, Alessandro Beghi:
Extremum Seeking-based Optimal Setting of the Air Temperature in Industrial Textile Dryers. ECC 2019: 2283-2288 - [c63]Yutao Chen, Mattia Bruschetta
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. ECC 2019: 3365-3370 - [c62]Michele Lionello, Mirco Rampazzo, Alessandro Beghi, Damiano Varagnolo
Lumped-parameters Control-oriented Gray-box Modelling of Liquid Immersion Cooling Systems. ECC 2019: 3861-3866 - [c61]Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. INDIN 2019: 187-192 - [c60]Mattia Carletti
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC 2019: 21-26 - [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
- [j16]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): 739-748 (2018) - [j15]Mattia Bruschetta
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) - [c59]Mattia Bruschetta
A nonlinear MPC based motion cueing strategy for a high performance driving simulator with active seat. AMC 2018: 23-28 - [c58]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: 774-779 - [c57]Alessandro Beghi, Giuseppe Dalla Mana, Michele Lionello, Mirco Rampazzo:
Data-Driven Supervisory Control of Indirect Adiabatic Cooling Systems. CCTA 2018: 1203-1208 - [c56]Gian Antonio Susto
A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. CCTA 2018: 1252-1257 - [c55]Francesco Simmini, Mirco Rampazzo, Alessandro Beghi, Fabio Peterle:
Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers. ETFA 2018: 1322-1327 - [c54]Gian Antonio Susto
Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. ECC 2018: 3179-3184 - [c53]Mirco Rampazzo, Michele Lionello, Fernando Carpignani Panebianco, Alessandro Beghi:
Model-Free Control of Data Center Compressor-Based Cooling Systems. RTSI 2018: 1-6 - [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
- [j14]Mirco Rampazzo, Andrea Cervato, Alessandro Beghi:
Remote refrigeration system experiments for control engineering education. Comput. Appl. Eng. Educ. 25(3): 430-440 (2017) - [j13]Mattia Bruschetta
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) - [c52]Yutao Chen
A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems. AIM 2017: 1780-1785 - [c51]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: 1984-1989 - [c50]Alessandro Beghi, Michele Lionello, Mirco Rampazzo:
Energy-efficient management of a wood industry facility. CCTA 2017: 181-186 - [c49]Yutao Chen
An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity. CDC 2017: 4382-4387 - [c48]Matteo Terzi
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI 2017: 1-6 - 2016
- [j12]Davide Cuccato
Computing Laser Beam Paths in Optical Cavities: An Approach Based on Geometric Newton Method. J. Optim. Theory Appl. 171(1): 297-315 (2016) - [c47]Davide Cuccato, Antonello Ortolan
The impact of resonator geometry on RLG performances. CCA 2016: 1007-1011 - [c46]Fabio Maran, Mattia Bruschetta
Study of a real-time, MPC based motion cueing procedure with time-varying prediction for different classes of drivers. ACC 2016: 1711-1716 - [c45]Gian Antonio Susto
Dealing with time-series data in Predictive Maintenance problems. ETFA 2016: 1-4 - 2015
- [j11]Gian Antonio Susto
Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Comput. Oper. Res. 53: 328-337 (2015) - [j10]Gian Antonio Susto
Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Trans. Ind. Informatics 11(3): 812-820 (2015) - [c44]Alessandro Beghi, Riccardo Brignoli
A data-driven approach for fault diagnosis in HVAC chiller systems. CCA 2015: 966-971 - 2014
- [c43]Alessandro Beghi, Luca Cecchinato, Marco Lissandrin, Mirco Rampazzo:
Oil-free centrifugal chiller optimal operation. CCA 2014: 1948-1953 - [c42]Mattia Bruschetta
A non-linear MPC based Motion Cueing implementation for a 9 DOFs dynamic simulator platform. CDC 2014: 2517-2522 - [c41]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: 687-690 - [c40]Alessandro Beghi, Angelo Cenedese
Efficient algorithms for the reconstruction and prediction of atmospheric turbulence in AO systems. ECC 2014: 2430-2435 - 2013
- [j9]Alessandro Saccon
A Virtual Rider for Motorcycles: Maneuver Regulation of a Multi-Body Vehicle Model. IEEE Trans. Control. Syst. Technol. 21(2): 332-346 (2013) - [c39]Alessandro Beghi, Luca Cecchinato, Lorenzo Corso, Mirco Rampazzo, Francesco Simmini:
Process history-based Fault Detection and Diagnosis for VAVAC systems. CCA 2013: 1165-1170 - [c38]Gian Antonio Susto
A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. CASE 2013: 195-200 - [c37]Alessandro Beghi, Angelo Cenedese
Turbulence modeling and Kalman prediction for the control of large AO systems. CDC 2013: 2525-2531 - [c36]Alessandro Beghi, Luca Cecchinato, Mirco Rampazzo, Francesco Simmini:
Modeling and control of HVAC systems with ice Cold Thermal Energy Storage. CDC 2013: 4808-4813 - [c35]Gian Antonio Susto
Prediction of integral type failures in semiconductor manufacturing through classification methods. ETFA 2013: 1-4 - [c34]Alessandro Beghi, Angelo Cenedese, Andrea Masiero:
On the estimation of atmospheric turbulence layers for AO systems. ECC 2013: 4196-4201 - [c33]Alessandro Beghi, Angelo Cenedese
Multiscale phase screens synthesis based on local PCA. ICCA 2013: 1862-1867 - [c32]Alessandro Beghi, Angelo Cenedese
On the computation of Kalman gain in large adaptive optics systems. MED 2013: 1374-1379 - [c31]Alessandro Beghi, Mattia Bruschetta
A Real-Time Implementation of an MPC-Based Motion Cueing Strategy with Time-Varying Prediction. SMC 2013: 4149-4154 - 2012
- [j8]Alessandro Saccon
Trajectory Exploration of a Rigid Motorcycle Model. IEEE Trans. Control. Syst. Technol. 20(2): 424-437 (2012) - [c30]Alessandro Beghi, Angelo Cenedese
Nonstationary turbulence simulation with an efficient multiscale approach. CCA 2012: 551-556 - [c29]Gian Antonio Susto
Least angle regression for semiconductor manufacturing modeling. CCA 2012: 658-663 - [c28]Simone Pampuri
Multistep virtual metrology approaches for semiconductor manufacturing processes. CASE 2012: 91-96 - [c27]Gian Antonio Susto
An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. CASE 2012: 358-363 - [c26]Alessandro Beghi, Mattia Bruschetta
A real time implementation of MPC based Motion Cueing strategy for driving simulators. CDC 2012: 6340-6345 - 2011
- [c25]Alessandro Beghi, Luca Cecchinato, Mirco Rampazzo:
Thermal and comfort control for radiant heating/cooling systems. CCA 2011: 258-263 - [c24]Alessandro Beghi, Angelo Cenedese, Andrea Masiero:
A multiscale stochastic approach for phase screens synthesis. ACC 2011: 3084-3089 - [c23]Gian Antonio Susto
A Predictive Maintenance System for Silicon Epitaxial Deposition. CASE 2011: 262-267 - [c22]Gian Antonio Susto
A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. ETFA 2011: 1-4 - [c21]Alessandro Beghi, Luca Cecchinato, Fabio Paggiaro, Mirco Rampazzo:
VAVAC systems modeling and simulation for FDD applications. ICCA 2011: 800-805 - [c20]Mauro Baseggio, Alessandro Beghi, Mattia Bruschetta
An MPC approach to the design of motion cueing algorithms for driving simulators. ITSC 2011: 692-697 - 2010
- [c19]Alessandro Beghi, Luca Cecchinato, Giovanni Cosi, Mirco Rampazzo:
Two-layer Control of Multi-chiller Systems. CCA 2010: 1892-1897 - [c18]Silverio Bolognani
Efficient Conditioning of Energy in AFE-based Distributed Generation Units. CCA 2010: 1910-1915 - [c17]Alessandro Beghi, Angelo Cenedese
Estimating turbulent phase characteristics in MCAO systems. CDC 2010: 7631-7636
2000 – 2009
- 2009
- [c16]Alessandro Beghi, Angelo Cenedese
On the estimation of atmospheric turbulence statistical characteristics. CCA/ISIC 2009: 625-630 - [c15]Alessandro Beghi, Angelo Cenedese
Algorithms for turbulence compensation in large adaptive optics systems. CDC 2009: 835-840 - 2008
- [c14]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: 814-820 - [c13]Alessandro Beghi, Angelo Cenedese
A comparison of Kalman filter based algorithms for turbulent phase control in an adaptive optics system. CDC 2008: 1839-1844 - [c12]Alessandro Beghi, Mario Cavinato, Angelo Cenedese
Nonlinear dynamic modeling for control of fusion devices. CDC 2008: 3133-3138 - 2007
- [j7]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): 894-907 (2007) - [c11]Michele Albieri, Alessandro Beghi, Cristian Bodo, Luca Cecchinato:
A Simulation Environment for the Design of Advanced Chiller Control Systems. CASE 2007: 962-967 - [c10]Alessandro Beghi, Angelo Cenedese
Atmospheric turbulence prediction: A PCA approach. CDC 2007: 566-571 - [c9]Alessandro Beghi, Angelo Cenedese
A comparison between Zernike and PCA representation of atmospheric turbulence. CDC 2007: 572-577 - 2006
- [j6]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): 767-775 (2006) - [c8]Alessandro Beghi, Marco Liberati, Stivi Peron, Davide Sette:
Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications. CASE 2006: 280-285 - [c7]Mario Cavinato, Giuseppe Marchiori, A. Soppelsa, Alessandro Beghi, Angelo Cenedese:
MHD modes control in fusion devices. CDC 2006: 2244-2249 - 2005
- [c6]Alessandro Beghi, Lorenzo Nardo, Marco Stevanato:
A Sliding Mode Throttle Controller for Drive-By-Wire Operation of a Racing Motorcycle Engine. ISIC 2005: 557-562 - [c5]Angelo Cenedese
Controlling Curves on the Plane: An Approach to Shape Control in Fusion Devices. ISIC 2005: 1178-1183 - 2004
- [c4]Ruggero Frezza, Alessandro Beghi, Alessandro Saccon:
Model predictive for path following with motorcycles: application to the development of the pilot model for virtual prototyping. CDC 2004: 767-772 - [c3]Luca Gasbarro, Alessandro Beghi, Ruggero Frezza, Francesco Nori, Christian Spagnol:
Motorcycle trajectory reconstruction by integration of vision and MEMS accelerometers. CDC 2004: 779-783 - 2003
- [c2]Alessandro Beghi, Angelo Cenedese:
Boundary reconstruction and geometric parameterisation for plasma shape control. CDC 2003: 4622-4627 - 2002
- [j5]Alessandro Beghi, Augusto Ferrante, Michele Pavon:
How to Steer a Quantum System over a Schrödinger Bridge. Quantum Inf. Process. 1(3): 183-206 (2002) - 2001
- [j4]Alessandro Beghi:
An application of selective modal analysis to tokamak modeling and control. IEEE Trans. Control. Syst. Technol. 9(4): 574-589 (2001) - [c1]Roberto Oboe
LQG/LTR control of a dual stage actuator hard disk drive with piezoelectric secondary actuator. ECC 2001: 2279-2284
1990 – 1999
- 1998
- [j3]Alessandro Beghi, Domenico D'Alessandro:
Discrete-Time Optimal Control with Control-Dependent Noise and Generalized Riccati Difference Equations. Autom. 34(8): 1031-1034 (1998) - 1996
- [j2]Alessandro Beghi:
On the relative entropy of discrete-time Markov processes with given end-point densities. IEEE Trans. Inf. Theory 42(5): 1529-1535 (1996) - 1994
- [j1]Alessandro Beghi, Antonio M. Lepschy, Umberto Viaro
A property of the Routh table and its use. IEEE Trans. Autom. Control. 39(12): 2494-2496 (1994)
Coauthor Index
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