Michele Pagone

ERC sectors

SDG

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato
• Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato

Master of Science

• Driver assistance system design (Driver assistance system design A)(modulo di Driver assistance system design A ). A.A. 2025/26, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
• Automotive control systems. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Driver assistance system design (modulo di Driver assistance system design A). A.A. 2024/25, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
• Automotive control systems. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Optimization for machine learning. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Driver assistance system design (modulo di Driver assistance system design A). A.A. 2023/24, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
• Optimization for machine learning. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Driver assistance system design (modulo di Driver assistance system design A). A.A. 2022/23, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
• Optimization for machine learning. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Driver assistance system design (modulo di Driver assistance system design A). A.A. 2021/22, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
• Optimization for machine learning. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Aeroacustica/Aerodinamica sperimentale (modulo di Aerodinamica sperimentale). A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Optimization for machine learning. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso

Bachelor of Science

• Automatic control. A.A. 2025/26, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso
• Automatic control. A.A. 2024/25, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso
• Automatic control. A.A. 2023/24, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso
• Automatic control. A.A. 2022/23, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso

• Advanced nonlinear model predictive control: Theory, numerical aspects, and applications (DET)
• Design of advanced control algorithms for aerospace applications (DET)
• Nonlinear model predictive control for automotive applications (DET)

• Automatica (DET)

• Lucrezia Lovaglio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40^th cycle, 2024-in progress)
• Lorenzo Calogero. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38^th cycle, 2022-in progress)
  Research subject: Advanced model predictive control strategies for sustainable mobility
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Mechatronics and robotics
  Systems, Automation and Control
  Big Data, Machine Learning, Neural Networks and Data Science
  Mechatronics and robotics
  Systems, Automation and Control

• Pagone, Michele; Acampora, Mattia; Novara, Carlo; Bonfitto, Angelo (In stampa)
  A Novel Economic Model Predictive Control for Adaptive Cruise Control in Electric Vehicles. In: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Anaheim (USA), 17-20 Agosto, 2025
  Contributo in Atti di Convegno (Proceeding)
• Marinello, Giovanni; Zino, Lorenzo; Novara, Carlo; Pagone, Michele (In stampa)
  A Game-theoretic Approach to Cooperative Robust Nonlinear Model Predictive Control for a Network of Unmanned Ground Vehicles. In: 11th International Conference on Control, Decision and Information Technologies, Split (Cro), 15-18 Luglio, 2025. ISSN 2576-3555
  Contributo in Atti di Convegno (Proceeding)
• Pagone, Michele; Calogero, Lorenzo; Rizzo, Alessandro; Novara, Carlo (In stampa)
  A Game-Theoretic Approach to Robust NMPC via Pontryagin’s Minimum Principle and Penalty Functions. In: 11th IFAC Symposium on Robust Control Design, Porto (Por), 2-4 July 2025. ISSN 2405-8963
  Contributo in Atti di Convegno (Proceeding)
• Calogero, Lorenzo; Pagone, Michele; Cianflone, Francesco; Gandino, Edoardo; Karam, ... (2025)
  Neural adaptive MPC with online metaheuristic tuning for power management in fuel cell hybrid electric vehicles. In: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, vol. 22, pp. 11540-11553. ISSN 1545-5955
  Contributo su Rivista
• Calogero, Lorenzo; Pagone, Michele; Rizzo, Alessandro (2024)
  Pseudo-Transient Continuation for Enhanced Quadratic Programming and Optimal Control. In: 2024 Automatica.it Conference, Bolzano (Italy), 11/09/2024-13/09/2024, pp. 155-156
  Contributo in Atti di Convegno (Proceeding)