A property of the Routh table and its use. - Alessandro Beghi; Antonio M. Lepschy; Umberto Viaro (IEEE Trans. Autom. Control., 1994)

On the relative entropy of discrete-time Markov processes with given end-point densities. - Alessandro Beghi (IEEE Trans. Inf. Theory, 1996)

Discrete-Time Optimal Control with Control-Dependent Noise and Generalized Riccati Difference Equations. - Alessandro Beghi; Domenico D'Alessandro (Autom., 1998)

LQG/LTR control of a dual stage actuator hard disk drive with piezoelectric secondary actuator. - Roberto Oboe; Alessandro Beghi (ECC, 2001)

An application of selective modal analysis to tokamak modeling and control. - Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2001)

How to Steer a Quantum System over a Schrödinger Bridge. - Alessandro Beghi; Augusto Ferrante; Michele Pavon (Quantum Inf. Process., 2002)

Boundary reconstruction and geometric parameterisation for plasma shape control. - Alessandro Beghi; Angelo Cenedese (CDC, 2003)

Model predictive for path following with motorcycles: application to the development of the pilot model for virtual prototyping. - Ruggero Frezza; Alessandro Beghi; Alessandro Saccon (CDC, 2004)

Motorcycle trajectory reconstruction by integration of vision and MEMS accelerometers. - Luca Gasbarro; Alessandro Beghi; Ruggero Frezza; Francesco Nori; Christian Spagnol (CDC, 2004)

A Sliding Mode Throttle Controller for Drive-By-Wire Operation of a Racing Motorcycle Engine. - Alessandro Beghi; Lorenzo Nardo; Marco Stevanato (ISIC, 2005)

Controlling Curves on the Plane: An Approach to Shape Control in Fusion Devices. - Angelo Cenedese; Alessandro Beghi; S. Simionato (ISIC, 2005)

Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications. - Alessandro Beghi; Marco Liberati; Stivi Peron; Davide Sette (CASE, 2006)

MHD modes control in fusion devices. - Mario Cavinato; Giuseppe Marchiori; A. Soppelsa; Alessandro Beghi; Angelo Cenedese (CDC, 2006)

Observer-based discrete-time sliding mode throttle control for drive-by-wire operation of a racing motorcycle engine. - Alessandro Beghi; Lorenzo Nardo; Marco Stevanato (IEEE Trans. Control. Syst. Technol., 2006)

A Simulation Environment for the Design of Advanced Chiller Control Systems. - Michele Albieri; Alessandro Beghi; Cristian Bodo; Luca Cecchinato (CASE, 2007)

Atmospheric turbulence prediction: A PCA approach. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CDC, 2007)

A comparison between Zernike and PCA representation of atmospheric turbulence. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CDC, 2007)

Grey-box modeling of a motorcycle shock absorber for virtual prototyping applications. - Alessandro Beghi; Marco Liberati; Sergio Mezzalira; Stivi Peron (Simul. Model. Pract. Theory, 2007)

A simulation environment for dry-expansion evaporators with application to the design of autotuning control algorithms for electronic. - Alessandro Beghi; Umberto Bianchini; Cristian Bodo; Luca Cecchinato (CASE, 2008)

Nonlinear dynamic modeling for control of fusion devices. - Alessandro Beghi; Mario Cavinato; Angelo Cenedese (CDC, 2008)

A comparison of Kalman filter based algorithms for turbulent phase control in an adaptive optics system. - Alessandro Beghi; Angelo Cenedese; Fabio Maran; Andrea Masiero (CDC, 2008)

On the estimation of atmospheric turbulence statistical characteristics. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CCA/ISIC, 2009)

Algorithms for turbulence compensation in large adaptive optics systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CDC, 2009)

Two-layer Control of Multi-chiller Systems. - Alessandro Beghi; Luca Cecchinato; Giovanni Cosi; Mirco Rampazzo (CCA, 2010)

Efficient Conditioning of Energy in AFE-based Distributed Generation Units. - Silverio Bolognani; Francesco Gambato; Mirco Rampazzo; Alessandro Beghi (CCA, 2010)

Estimating turbulent phase characteristics in MCAO systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CDC, 2010)

Thermal and comfort control for radiant heating/cooling systems. - Alessandro Beghi; Luca Cecchinato; Mirco Rampazzo (CCA, 2011)

A multiscale stochastic approach for phase screens synthesis. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (ACC, 2011)

A Predictive Maintenance System for Silicon Epitaxial Deposition. - Gian Antonio Susto; Alessandro Beghi; Cristina De Luca (CASE, 2011)

A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. - Gian Antonio Susto; Alessandro Beghi; Cristina De Luca (ETFA, 2011)

VAVAC systems modeling and simulation for FDD applications. - Alessandro Beghi; Luca Cecchinato; Fabio Paggiaro; Mirco Rampazzo (ICCA, 2011)

An MPC approach to the design of motion cueing algorithms for driving simulators. - Mauro Baseggio; Alessandro Beghi; Mattia Bruschetta; Fabio Maran; Diego Minen (ITSC, 2011)

Nonstationary turbulence simulation with an efficient multiscale approach. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CCA, 2012)

Least angle regression for semiconductor manufacturing modeling. - Gian Antonio Susto; Alessandro Beghi (CCA, 2012)

Multistep virtual metrology approaches for semiconductor manufacturing processes. - Simone Pampuri; Andrea Schirru; Gian Antonio Susto; Cristina De Luca; Alessandro Beghi; Giuseppe De Nicolao (CASE, 2012)

An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Giuseppe De Nicolao; Alessandro Beghi (CASE, 2012)

A real time implementation of MPC based Motion Cueing strategy for driving simulators. - Alessandro Beghi; Mattia Bruschetta; Fabio Maran (CDC, 2012)

Trajectory Exploration of a Rigid Motorcycle Model. - Alessandro Saccon; John Hauser; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2012)

Process history-based Fault Detection and Diagnosis for VAVAC systems. - Alessandro Beghi; Luca Cecchinato; Lorenzo Corso; Mirco Rampazzo; Francesco Simmini (CCA, 2013)

A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Daniele Pagano; Seán F. McLoone; Alessandro Beghi (CASE, 2013)

Turbulence modeling and Kalman prediction for the control of large AO systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (CDC, 2013)

Modeling and control of HVAC systems with ice Cold Thermal Energy Storage. - Alessandro Beghi; Luca Cecchinato; Mirco Rampazzo; Francesco Simmini (CDC, 2013)

Prediction of integral type failures in semiconductor manufacturing through classification methods. - Gian Antonio Susto; Seán F. McLoone; Daniele Pagano; Andrea Schirru; Simone Pampuri; Alessandro Beghi (ETFA, 2013)

On the estimation of atmospheric turbulence layers for AO systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (ECC, 2013)

Multiscale phase screens synthesis based on local PCA. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (ICCA, 2013)

On the computation of Kalman gain in large adaptive optics systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (MED, 2013)

A Real-Time Implementation of an MPC-Based Motion Cueing Strategy with Time-Varying Prediction. - Alessandro Beghi; Mattia Bruschetta; Fabio Maran (SMC, 2013)

A Virtual Rider for Motorcycles: Maneuver Regulation of a Multi-Body Vehicle Model. - Alessandro Saccon; John Hauser; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2013)

Oil-free centrifugal chiller optimal operation. - Alessandro Beghi; Luca Cecchinato; Marco Lissandrin; Mirco Rampazzo (CCA, 2014)

A non-linear MPC based Motion Cueing implementation for a 9 DOFs dynamic simulator platform. - Mattia Bruschetta; Fabio Maran; Alessandro Beghi (CDC, 2014)

Enhancing the Simulation-Centric Design of Cyber-Physical and Multi-physics Systems through Co-simulation. - Alessandro Beghi; Fabio Marcuzzi; Mirco Rampazzo; Marco Virgulin (DSD, 2014)

Efficient algorithms for the reconstruction and prediction of atmospheric turbulence in AO systems. - Alessandro Beghi; Angelo Cenedese; Andrea Masiero (ECC, 2014)

A data-driven approach for fault diagnosis in HVAC chiller systems. - Alessandro Beghi; Riccardo Brignoli; Luca Cecchinato; Gabriele Menegazzo; Mirco Rampazzo (CCA, 2015)

Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. - Gian Antonio Susto; Simone Pampuri; Andrea Schirru; Alessandro Beghi; Giuseppe De Nicolao (Comput. Oper. Res., 2015)

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Seán F. McLoone; Alessandro Beghi (IEEE Trans. Ind. Informatics, 2015)

The impact of resonator geometry on RLG performances. - Davide Cuccato; Antonello Ortolan; Alessandro Beghi; Alessandro Saccon (CCA, 2016)

Study of a real-time, MPC based motion cueing procedure with time-varying prediction for different classes of drivers. - Fabio Maran; Mattia Bruschetta; Alessandro Beghi (ACC, 2016)

Dealing with time-series data in Predictive Maintenance problems. - Gian Antonio Susto; Alessandro Beghi (ETFA, 2016)

Computing Laser Beam Paths in Optical Cavities: An Approach Based on Geometric Newton Method. - Davide Cuccato; Alessandro Saccon; Antonello Ortolan; Alessandro Beghi (J. Optim. Theory Appl., 2016)

A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems. - Yutao Chen; Davide Cuccato; Mattia Bruschetta; Alessandro Beghi (AIM, 2017)

Energy-efficient operation of an indirect adiabatic cooling system for data centers. - Alessandro Beghi; Giuseppe Dalla Mana; Michele Lionello; Mirco Rampazzo; Enrico Sisti (ACC, 2017)

Energy-efficient management of a wood industry facility. - Alessandro Beghi; Michele Lionello; Mirco Rampazzo (CCTA, 2017)

An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity. - Yutao Chen; Davide Cuccato; Mattia Bruschetta; Alessandro Beghi (CDC, 2017)

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. - Matteo Terzi; Chiara Masiero; Alessandro Beghi; Marco Maggipinto; Gian Antonio Susto (RTSI, 2017)

Remote refrigeration system experiments for control engineering education. - Mirco Rampazzo; Andrea Cervato; Alessandro Beghi (Comput. Appl. Eng. Educ., 2017)

A Nonlinear, MPC-Based Motion Cueing Algorithm for a High-Performance, Nine-DOF Dynamic Simulator Platform. - Mattia Bruschetta; Fabio Maran; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2017)

A nonlinear MPC based motion cueing strategy for a high performance driving simulator with active seat. - Mattia Bruschetta; Yutao Chen; Daniel Cunico; Enrico Mion; Alessandro Beghi (AMC, 2018)

Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. - Giuliano Zambonin; Fabio Altinier; Lorenzo Corso; Mattia Sessolo; Alessandro Beghi; Gian Antonio Susto (CASE, 2018)

Data-Driven Supervisory Control of Indirect Adiabatic Cooling Systems. - Alessandro Beghi; Giuseppe Dalla Mana; Michele Lionello; Mirco Rampazzo (CCTA, 2018)

A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. - Gian Antonio Susto; Giuliano Zambonin; Fabio Altinier; Elena Pesavento; Alessandro Beghi (CCTA, 2018)

Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers. - Francesco Simmini; Mirco Rampazzo; Alessandro Beghi; Fabio Peterle (ETFA, 2018)

Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. - Gian Antonio Susto; Marco Maggipinto; Giulia Zannon; Fabio Altinier; Elena Pesavento; Alessandro Beghi (ECC, 2018)

Model-Free Control of Data Center Compressor-Based Cooling Systems. - Mirco Rampazzo; Michele Lionello; Fernando Carpignani Panebianco; Alessandro Beghi (RTSI, 2018)

Designing and teaching of an effective engineering continuing education course: Modeling and simulation of HVAC systems. - Mirco Rampazzo; Alessandro Beghi (Comput. Appl. Eng. Educ., 2018)

A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics. - Mattia Bruschetta; Carlo Cenedese; Alessandro Beghi; Fabio Maran (IEEE Trans. Hum. Mach. Syst., 2018)

Efficient Operation of Indirect Evaporative Data Center Cooling Systems via Newton-Like Extremum-Seeking Control. - Alessandro Beghi; Michele Lionello; Mirco Rampazzo (CCTA, 2019)

A Nonlinear Model Predictive Control based Virtual Driver for high performance driving. - Mattia Bruschetta; Enrico Picotti; Enrico Mion; Yutao Chen; Alessandro Beghi; Diego Minen (CCTA, 2019)

MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control. - Yutao Chen; Mattia Bruschetta; Enrico Picotti; Alessandro Beghi (ECC, 2019)

Extremum Seeking-based Optimal Setting of the Air Temperature in Industrial Textile Dryers. - Fabiana Federica Ferro; Mirco Rampazzo; Alessandro Beghi (ECC, 2019)

Lumped-parameters Control-oriented Gray-box Modelling of Liquid Immersion Cooling Systems. - Michele Lionello; Mirco Rampazzo; Alessandro Beghi; Damiano Varagnolo; Mattias Vesterlund (ECC, 2019)

A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. - Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto (INDIN, 2019)

Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. - Mattia Carletti; Chiara Masiero; Alessandro Beghi; Gian Antonio Susto (SMC, 2019)

An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control. - Yutao Chen; Nicolo Scarabottolo; Mattia Bruschetta; Alessandro Beghi (CoRR, 2019)

An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. - Yutao Chen; Mattia Bruschetta; Davide Cuccato; Alessandro Beghi (IEEE Trans. Autom. Control., 2019)

Design and implementation of a high-performance, nonlinear MPC-based virtual motorcycle rider. - Enrico Picotti; Mattia Bruschetta; Yutao Chen; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi (ECC, 2020)

Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. - Mattia Carletti; Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto; Natalie Gentner; Yao Yang; Andreas Kyek (WSC, 2020)

Velocity Aided, Correlated Noise Extended Kalman Filtering for Attitude Estimation: a Motorcycle Case Study. - Mattia Bruschetta; Luca Caiaffa; Enrico Picotti; Alessandro Beghi (MED, 2021)

AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. - Nicolò Bargellesi; Alessandro Beghi; Mirco Rampazzo; Gian Antonio Susto (IEEE Robotics Autom. Lett., 2021)

Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle. - Mattia Bruschetta; Enrico Picotti; Andrea De Simoi; Yutao Chen; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi (IEEE Trans. Control. Syst. Technol., 2021)

Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. - Eugenia Anello; Chiara Masiero; Fabiana Federica Ferro; Francesca Ferrari; Bleona Mukaj; Alessandro Beghi; Gian Antonio Susto (CCTA, 2022)

Real-time Efficient Operation of a Micro-scale Organic Rankine Cycle Unit via Extremum Seeking Control. - Gianluca Carraro; Andrea Lazzaretto; Alessandro Beghi; Mirco Rampazzo (CCTA, 2022)

Elastic Shape Analysis for Anomaly Detection in Textile Finishing Time-Series Data. - Fabiana Federica Ferro; Mirco Rampazzo; Alessandro Beghi (CCTA, 2022)

Data-driven Tuning of a NMPC Controller for a Virtual Motorcycle through Genetic Algorithm. - Enrico Picotti; Luca Facin; Alessandro Beghi; Masatsugu Nishimura; Yoshitaka Tezuka; Francesco Ambrogi; Mattia Bruschetta (CCTA, 2022)

SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. - Khaled Sidahmed Sidahmed Alamin; Yukai Chen; Sebastiano Gaiardelli; Stefano Spellini; Andrea Calimera; Alessandro Beghi; Gian Antonio Susto; Franco Fummi; Enrico Macii; Sara Vinco (LATS, 2022)

A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. - Elisa Marcelli; Tommaso Barbariol; Vincenzo Savarino; Alessandro Beghi; Gian Antonio Susto (LATS, 2022)

A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. - Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto (IEEE Trans Autom. Sci. Eng., 2022)

FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. - Davide Dalle Pezze; Chiara Masiero; Diego Tosato; Alessandro Beghi; Gian Antonio Susto (IEEE Trans Autom. Sci. Eng., 2022)

A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. - Francesco Simmini; Mirco Rampazzo; Fabio Peterle; Gian Antonio Susto; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2022)

Alarm Logs in Packaging Industry (ALPI). - Diego Tosato; Davide Dalle Pezze; Chiara Masiero; Gian Antonio Susto; Alessandro Beghi (IEEE DataPort, 2022)

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. - Alessandro Beghi; Nicola Dall'Ora; Davide Dalle Pezze; Franco Fummi; Chiara Masiero; Stefano Spellini; Gian Antonio Susto; Francesco Tosoni 002 (FDL, 2023)

A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. - Davide Dalle Pezze; Denis Deronjic; Chiara Masiero; Diego Tosato; Alessandro Beghi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2023)

A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios. - Enrico Picotti; Mattia Bruschetta; Enrico Mion; Alessandro Beghi (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. - Enrico Picotti; Enrico Mion; Alberto Dalla Libera; Josip Pavlovic; Andrea Censi; Emilio Frazzoli; Alessandro Beghi; Mattia Bruschetta (IEEE Trans. Control. Syst. Technol., 2023)

An AI-Enabled Framework for Smart Semiconductor Manufacturing. - 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; et al. (DATE, 2024)

Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. - Xi Sun; Alessandro Beghi; Gian Antonio Susto; Zhimin Lv (Comput. Ind. Eng., 2024)