Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
A structured approach to multi-step and physics-based system identification
Tutors
Research interests
Biography
Cesare Donati received the B.Sc. degree and M.Sc. degree in Computer Engineering from Politecnico di Torino in 2019 and 2021, respectively. During his studies, he specialized in the field of Automation and Cyber-Physical Systems, gaining theoretical fundamentals in the main areas of Automation and Control Systems.
After his graduation, he started his activity as a researcher at CNR-IEIIT, focusing on navigation strategies for autonomous vehicles in precision agriculture scenarios. Then, as a pre-doctoral researcher at Politecnico di Torino, his studies continued in the area of filtering, model-based control, and system identification.
Currently, he is a PhD researcher in Electrical, Electronics, and Communications Engineering at Politecnico di Torino, collaborating with CNR-IEIIT. He is a member of the IEEE TC on System Identification and Adaptive Control. His research interests include nonlinear, multi-step, physics-based system identification, filtering and estimation, prediction, optimization, and model-based control.
After his graduation, he started his activity as a researcher at CNR-IEIIT, focusing on navigation strategies for autonomous vehicles in precision agriculture scenarios. Then, as a pre-doctoral researcher at Politecnico di Torino, his studies continued in the area of filtering, model-based control, and system identification.
Currently, he is a PhD researcher in Electrical, Electronics, and Communications Engineering at Politecnico di Torino, collaborating with CNR-IEIIT. He is a member of the IEEE TC on System Identification and Adaptive Control. His research interests include nonlinear, multi-step, physics-based system identification, filtering and estimation, prediction, optimization, and model-based control.
Research topic:
His research focuses on the study and development of an innovative multi-step system identification approach that relies both on physical knowledge and experimental data. Such a method takes into account the presence of uncertainties, nonlinear effects, physical constraints, and all those gaps that hindered the development of accurate multi-step identification solutions due to model inaccuracies and complexity. This solution is validated on complex and structured systems to verify its capability to provide accurate predictions while achieving physical constraint satisfaction in the considered applications, e.g., in the aerospace field and, in particular, in the emerging sector of space economy and safety-critical space missions, where a strong system identification approach is necessary to get reliable physical parameter estimation. Other possible applications may include the study of epidemiological and biological models, as well as identification in the automotive and agricultural fields.
His research focuses on the study and development of an innovative multi-step system identification approach that relies both on physical knowledge and experimental data. Such a method takes into account the presence of uncertainties, nonlinear effects, physical constraints, and all those gaps that hindered the development of accurate multi-step identification solutions due to model inaccuracies and complexity. This solution is validated on complex and structured systems to verify its capability to provide accurate predictions while achieving physical constraint satisfaction in the considered applications, e.g., in the aerospace field and, in particular, in the emerging sector of space economy and safety-critical space missions, where a strong system identification approach is necessary to get reliable physical parameter estimation. Other possible applications may include the study of epidemiological and biological models, as well as identification in the automotive and agricultural fields.
Skills
Open badges
Teaching
Teachings
Master of Science
- Optimization for machine learning. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Convex optimization and engineering applications. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Convex optimization and engineering applications. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Bachelor of Science
- Laboratorio di Automazione industriale. A.A. 2024/25, TECNOLOGIE PER L'INDUSTRIA MANIFATTURIERA. Collaboratore del corso
- Laboratorio di Automazione industriale. A.A. 2023/24, TECNOLOGIE PER L'INDUSTRIA MANIFATTURIERA. Collaboratore del corso
- Laboratorio di Automazione industriale. A.A. 2022/23, TECNOLOGIE PER L'INDUSTRIA MANIFATTURIERA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Donati, Cesare; Mammarella, Martina; Dabbene, Fabrizio; Novara, Carlo; Lagoa, Constantino (2024)
One-shot backpropagation for multi-step prediction in physics-based system identification. In: SYSID 2024 - 20th IFAC Symposium on System Identification, Boston (USA), July 17-18, 2024, pp. 271-276. ISSN 2405-8963
Contributo in Atti di Convegno (Proceeding) - Donati, Cesare; Mammarella, Martina; Dabbene, Fabrizio (2023)
Single-state weighted particle filter with application to Earth Observation missions. In: IFAC 2023 - 22nd World Congress of the International Federation of Automatic Control, Yokohama, Japan, 9-14 July, 2023, pp. 6024-6029. ISSN 2405-8963
Contributo in Atti di Convegno (Proceeding) - Mammarella, M; Donati, C; Shimizu, T; Suenaga, M; Comba, L; Biglia, A; Uto, K; Hatanaka, ... (2022)
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. In: 7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022, Monaco, Germania, 14-16 Settembre 2022, pp. 271-276. ISSN 2405-8963
Contributo in Atti di Convegno (Proceeding) - Donati, Cesare; Mammarella, Martina; Comba, Lorenzo; Biglia, Alessandro; Gay, Paolo; ... (2022)
3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. In: REMOTE SENSING, vol. 14, pp. 1-18. ISSN 2072-4292
Contributo su Rivista - Donati, Cesare; Mammarella, Martina; Comba, Lorenzo; Biglia, Alessandro; Dabbene, ... (2021)
Improving agricultural drone localization using georeferenced low-complexity maps. In: 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Trento-Bolzano (Italy), 3-5 Nov. 2021, pp. 372-377. ISBN: 978-1-6654-0533-1
Contributo in Atti di Convegno (Proceeding)