Publications

  • 2026

  • Nonlinear system identification for a nano-drone benchmark

    R. Busetto, E. Cereda, M. Forgione, G. Maroni, D. Piga, D. Palossi

    Control Engineering Practice

  • On the Normalization of Gray-box State-space Neural Networks

    M. B. Dehkordi, M. Forgione, G. Cimini, L. Frascati, D. Piga

    Automatica

  • 2025

  • Physics-informed Neural Networks for Hidden Insulin Dynamics Estimation from Glucose Data

    L. Multerer, M. Acquistapace, M. Forgione, L. Azzimonti

    AIME 2025

  • Enhanced Transformer Architecture for In-context Learning of Dynamical Systems

    M. Rufolo, D. Piga, G. Maroni, M. Forgione

    ECC 2025

  • Contactless Estimation of Respiratory Frequency Using 3D-CNN on Thermal Images

    F. Gioia, F. Pura, A. Greco, D. Piga, A. Merla, M. Forgione

    IEEE Journal of Biomedical and Health Informatics

  • Uncertainty Quantification in Neural State-space Models: Applications for Experiment Design and Uncertainty-aware MPC

    M. B. Dehkordi, M. Forgione, D. Piga

    European Journal of Control

  • Distributionally Robust Minimization in Meta-learning for System Identification

    M. Rufolo, D. Piga, M. Forgione

    IEEE Control Systems Letters

  • The Duality of Generative AI and Reinforcement Learning in Robotics: A Review

    A. Moroncelli, V. Soni, M. Forgione, D. Piga, B. Spahiu, L. Roveda

    Information Fusion

  • Zero-shot Parameter Estimation of Modelica Models Using Patch Transformer Networks

    A. Chakrabarty, M. Forgione, D. Piga, A. Bemporad, C. Laughman

    Modelica Conferences

  • 2024

  • Identification for Feedforward Control of Wiener Systems

    A. Uwadukunze, X. Bombois, M. Forgione, M. Gilson, M. Albisser

    MICNON 2024

  • A Computationally Efficient Deep Learning-based Surrogate Model of Prediabetes Progression

    L. Multerer, S. Toniolo, S. Mitrovic, M. C. Palumbo, A. Ravoni, P. Tieri, M. Forgione, L. Azzimonti

    BIBM 2024

  • Synthetic Data Generation for System Identification: Leveraging Knowledge Transfer from Similar Systems

    D. Piga, M. Rufolo, G. Maroni, M. Mejari, M. Forgione

    CDC 2024

  • Model Order Reduction of Deep Structured State-space Models: A System-theoretic Approach

    M. Forgione, M. Mejari, D. Piga

    CDC 2024

  • In-context Learning of State Estimators

    R. Busetto, V. Breschi, M. Forgione, D. Piga, S. Formentin

    IFAC-PapersOnLine

  • 2023

  • Variational Autoencoder for the Identification of Piecewise Models

    M. Mejari, M. Forgione, D. Piga

    IFAC-PapersOnLine

  • From System Models to Class Models: An In-context Learning Paradigm

    M. Forgione, F. Pura, D. Piga

    IEEE Control Systems Letters

  • Fast Predictive Visual Servoing: A Reference Governor-based Approach

    A. Paolillo, M. Forgione, D. Piga, E. M. Hoffman

    Control Engineering Practice

  • Neural State-space Models: Empirical Evaluation of Uncertainty Quantification

    M. Forgione, D. Piga

    IFAC-PapersOnLine

  • On the Adaptation of Recurrent Neural Networks for System Identification

    M. Forgione, A. Muni, D. Piga, M. Gallieri

    Automatica

  • 2022

  • Direct Identification of Continuous-time LPV State-space Models via an Integral Architecture

    M. Mejari, B. Mavkov, M. Forgione, D. Piga

    Automatica

  • Control Design via Bayesian Optimization with Safety Constraints

    X. Bombois, M. Forgione

    6th IEEE Conference on Control Technology and Applications (CCTA)

  • NARX Identification Using Derivative-based Regularized Neural Networks

    L. H. Peters, G. Beintema, M. Forgione, M. Schoukens

    Decision and Control (CDC), 61st IEEE Conference on

  • 2021

  • An Integral Architecture for Identification of Continuous-time State-space LPV Models

    M. Mejari, B. Mavkov, M. Forgione, D. Piga

    IFAC-PapersOnLine

  • Continuous-time System Identification with Neural Networks: Model Structures and Fitting Criteria

    M. Forgione, D. Piga

    European Journal of Control

  • dynoNet: A Neural Network Architecture for Learning Dynamical Systems

    M. Forgione, D. Piga

    International Journal of Adaptive Control and Signal Processing

  • Learning Dynamical Systems from Quantized Observations: A Bayesian Perspective

    D. Piga, M. Mejari, M. Forgione

    IEEE Transactions on Automatic Control

  • Deep Learning with Transfer Functions: New Applications in System Identification

    D. Piga, M. Forgione, M. Mejari

    19th IFAC Symposium on System Identification

  • 2020

  • Robot Control Parameters Auto-tuning in Trajectory Tracking Applications

    L. Roveda, M. Forgione, D. Piga

    Control Engineering Practice

  • Two-stage Robot Controller Auto-tuning Methodology for Trajectory Tracking Applications

    L. Roveda, M. Forgione, D. Piga

    IFAC-PapersOnLine

  • Efficient Calibration of Embedded MPC

    M. Forgione, D. Piga, A. Bemporad

    IFAC-PapersOnLine

  • Model Structures and Fitting Criteria for System Identification with Neural Networks

    M. Forgione, D. Piga

    AICT 2020

  • Integrated Neural Networks for Nonlinear Continuous-time System Identification

    B. Mavkov, M. Forgione, D. Piga

    IEEE Control Systems Letters

  • 2019

  • Performance-oriented Model Learning for Data-driven MPC Design

    D. Piga, M. Forgione, S. Formentin, A. Bemporad

    IEEE Control Systems Letters

  • Control Parameters Tuning Based on Bayesian Optimization for Robot Trajectory Tracking

    L. Roveda, M. Forgione, D. Piga

    ICRA Workshop on Learning for Industry 4.0

  • 2015

  • Batch-to-batch model improvement for cooling crystallization

    M. Forgione, G. Birpoutsoukis, X. Bombois, A. Mesbah, P. M. J. Van den Hof

    Control Engineering Practice

  • Data-driven model improvement for model-based control

    M. Forgione, X. Bombois, P. M. J. Van den Hof

    Automatica

  • Performance Diagnosis and Plant Re-identification

    A. Mesbah, X. Bombois, J. H. A. Ludlage, H. Hjalmarsson, M. Forgione, P. M. J. Van den Hof

    International Journal of Control

  • Least-costly Experiment Design for Uni-Parametric Linear Models: An Analytic Approach

    M. G. Potters, M. Forgione, X. Bombois, P. M. J. Van den Hof

    European Control Conference (ECC)

  • 2014

  • Experiment Design for Parameter Estimation in Nonlinear Systems Based on Multilevel Excitation

    M. Forgione, X. Bombois, P. M. J. Van den Hof, H. Hjalmarsson

    Proceedings of the 2014 European Control Conference

  • Experiment Design in Closed Loop with Unknown, Nonlinear or Implicit Controllers Using Stealth Identification

    M. G. Potters, X. Bombois, M. Forgione, P. E. Moden, M. Lundh, H. Hjalmarsson, P. M. J. Van den Hof

    Proceedings of the 2014 European Control Conference

  • Towards a More Rigorous Control of Seeded Batch Crystallization

    A. C. P. M. Backx, X. J. A. Bombois, P. J. Daudey, M. Forgione, R. M. Geertman, P. M. J. Van den Hof, S. S. Kadam, H. J. A. Kramer, J. A. W. Vissers, P. Vonk, G. M. Westhoff

    19th International Symposium on Industrial Crystallization

  • 2013

  • Experiment Design for Batch-to-batch Model-based Learning Control

    M. Forgione, X. Bombois, P. M. J. Van den Hof

    Proceedings of the 2013 American Control Conference

  • 2012

  • Rapid Crystallization Process Development Strategy from Lab to Industrial Scale with PAT Tools in Skid Configuration

    S. Kadam, J. Vissers, M. Forgione, R. Geertman, P. J. Daudey, A. Stankiewicz, H. J. M. Kramer

    Org. Process Res and Dev.

  • Iterative Learning Control of Supersaturation in Batch Cooling Crystallization

    M. Forgione, A. Mesbah, X. Bombois, P. M. J. Van den Hof

    Proceedings of the 2012 American Control Conference

  • Batch-to-batch Strategies for Cooling Crystallization

    M. Forgione, A. Mesbah, X. Bombois, P. M. J. Van den Hof

    Proceedings of the 51st IEEE Conference on Decision and Control

  • A Unified Experiment Design Framework for Detection and Identification in Closed-loop Performance Diagnosis

    A. Mesbah, X. Bombois, M. Forgione, J. Ludlage, P. Moden, H. Hjalmarsson, P. M. J. Van den Hof

    Decision and Control (CDC), 51st IEEE Conference on

  • 2011

  • Rapid Determination of a Near-optimal Seeding Procedure at an Industrial Scale Batch Crystallizer

    S. Kadam, J. Vissers, M. Forgione, R. Geertman, P. J. Daudey, H. J. M. Kramer

    Proceedings of the 18th International Symposium on Industrial Crystallization

  • Novel Control of Supersaturation on an Industrial Scale Pharmaceutical Batch Crystallizer

    J. Vissers, M. Forgione, S. Kadam, P. J. Daudey, T. Backx, A. E. M. Huesman, H. J. M. Kramer, P. M. J. Van den Hof

    Proceedings of the 18th International Symposium on Industrial Crystallization

  • 2009

  • Run-to-Run Tuning of Model Predictive Control for Type 1 Diabetes Subjects: in silico Trial

    L. Magni, M. Forgione, C. Toffanin, C. Dalla Man, G. De Nicolao, B. Kovatchev, C. Cobelli

    Journal of Diabetes Science and Technology