Mattia Boggio

Mattia Boggio's picture

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)

Ph.D. obtained in 2024

Dissertation:

Real-time Nonlinear Model Predictive Control: Efficient Methods for Domain Reduction (Abstract)

Tutors:

Carlo Novara Michele Taragna

Profile

Research topic

Efficient predictive control algorithms for autonomous ground and space vehicles

Research interests

Big Data, Machine Learning, Neural Networks and Data Science
Mechatronics and robotics
Systems, Automation and Control

Biography

Mattia Boggio received the B.Sc. degree in Electronic Engineering in 2016 and the M.Sc. degree in Mechatronic Engineering in July 2019, both at Politecnico di Torino. Currently, he is a Ph.D. student in Electrical, Electronics, and Communications Engineering at Politecnico di Torino. His research fields are related to optimal and predictive control, nonlinear optimization, autonomous guidance, and aerospace/automotive applications. He also cooperates with Thales Alenia Space Italy and European Space Agency for the Next Generation Gravity Mission (NGGM).

Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Automatic control. A.A. 2022/23, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso
  • Automatic control. A.A. 2023/24, INGEGNERIA DELL'AUTOVEICOLO. Collaboratore del corso
MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

More publicationsLess publications