Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Innovative Automated Driving functional architecture based on APF/MPC approaches for new sustainable mobility systems
Tutors
- Massimo Canale
- Carlo Novara
- Franck Guillemard
Research interests
Biography
Francesco Cerrito received his Master's degree in Mechatronics Engineering from Politecnico di Torino, Italy, in 2022. Following a research fellowship at the Department of Control and Computer Engineering at Politecnico di Torino, he began his Ph.D. studies at the same institution in November 2023. His primary research interests lie in the fields of nonlinear control and optimal control, with a specific focus on their application to autonomous vehicles.
Teaching
Teachings
Master of Science
- Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Punta, Elisabetta; Canale, Massimo; Cerrito, Francesco; Razza, Valentino (2024)
A Sliding Mode Control Architecture for Autonomous Driving in Highway Scenarios Based on Quadratic Artificial Potential Fields. In: IEEE CONTROL SYSTEMS LETTERS, vol. 8, pp. 2937-2942. ISSN 2475-1456
Contributo su Rivista - Canale, Massimo; Cerrito, Francesco; Borodani, Pandeli (2024)
An Ego-Based Approach to Planning and Control for Automated Valet Parking Applications. In: IEEE Conference on Decision and Control, Milan (ITA), December 16-19, 2024, pp. 8193-8198. ISBN: 979-8-3503-1633-9
Contributo in Atti di Convegno (Proceeding) - Fasiello, Alessandro; Cerrito, Francesco; Razza, Valentino; Canale, Massimo (2024)
Enhancing Reinforcement Learning for Automated Driving through Virtual Lane Logic. In: Modeling, Estimation and Control Conference MECC 2024, Chicago, IL (USA), Oct 27-30, 2024, pp. 55-60. ISSN 2405-8971
Contributo in Atti di Convegno (Proceeding) - Cerrito, Francesco; Canale, Massimo; Carello, Massimiliana (2024)
An Optimal Approach to Energy Management Control of a Fuel-Cell Vehicle. In: WORLD ELECTRIC VEHICLE JOURNAL, vol. 15. ISSN 2032-6653
Contributo su Rivista - Canale, Massimo; Carello, Massimiliana; Cerrito, Francesco (2023)
An Optimal Approach to Energy Management of a Hybrid Fuel-Cell Competition Vehicle. In: 2023 IEEE Vehicle Power and Propulsion Conference (VPPC), Milan (Italy), 24-27 October 2023, pp. 1-6. ISBN: 979-8-3503-4445-5
Contributo in Atti di Convegno (Proceeding)