PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



An introduction to drone modelling and optimal control

01WHYIW

A.A. 2025/26

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Aerospaziale - Torino

Course structure
Teaching Hours
Lezioni 12
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Capello Elisa   Professore Ordinario IIND-01/C 2 0 0 0 1
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A *** 2    
The subject of drone modelling and optimal control is a highly valued field of research in the sending institution. The joint collaborative actions that are expected to follow the teaching sessions are considered to significantly increase the modernisation of the sending institution’s research in the field. The receiving institution will greatly benefit from an in-depth engagement with complementary teaching and research topics aligned with those of the host research team, as well as from the potential to establish fruitful partnerships in future funding proposals. This collaboration offers the receiving institution valuable exposure to complementary teaching and research domains and opens promising avenues for future joint funding initiatives.
The subject of drone modelling and optimal control is a highly valued field of research in the sending institution. The joint collaborative actions that are expected to follow the teaching sessions are considered to significantly increase the modernisation of the sending institution’s research in the field. The receiving institution will greatly benefit from an in-depth engagement with complementary teaching and research topics aligned with those of the host research team, as well as from the potential to establish fruitful partnerships in future funding proposals. This collaboration offers the receiving institution valuable exposure to complementary teaching and research domains and opens promising avenues for future joint funding initiatives.
Guest Lecture: Bruno Guerreiro Bruno J. N. Guerreiro is a Tenured Assistant Professor with NOVA School of Science and Technology, NOVA University Lisbon (NOVA FCT), also a researcher with CTS/Uninova/LASI and ISR-Lisbon/LARSYS. PhD in Electrical and Computer Eng. from IST, Portugal, 2013, with expertise focused on theoretical, practical, and technological challenges related to the use of aerospace robotics for civilian applications, with particular emphasis on sensor-based SLAM, model-based predictive control, trajectory planning and tracking, linear and nonlinear control, automatic LIDAR calibration, and modeling and instrumentation of aerospace and marine vehicles, among others. He is the coordinator of the CTS B2 Research Group and the Cyber-physical andAerospace Control Lab. Was a team member in more than 14 national, EU and Macanese funded research and innovation projects, the coordinator in 2 of them, participating in the development of 13 autonomous vehicles prototypes (3 marine and 10 aerial). Coauthor of more than 57 publications, 14 of which in Q1- SCOPUS journals, with more than 633 citations and an h-index of 14 (Google Scholar). He has advised 2 post-docs and 26 MSc students, while currently advising 3 PhD students, and 8 MSc students. He is involved in the creation of 2 new MSc programs and 1 new BSc’s program, helping to consolidate the Aerospace curricular offer at NOVA FCT, being the Coordinator of the MSc in Aerospace Engineering, and has been involved in 11 different curricular units (CUs) throughout 10 academic years. Lecture 1 (1 h) Introduction of the course Lecture 2 (2h): From rigid-body to drone dynamics Lecture 3 (2h): Optimal control of a simplified drone model Lecture 4 (2h): Nonlinear control and trajectory tracking Lecture 5 (2h): Advanced planning and control methods examples Lecture 6 (1h): Oral presentation of the students
Guest Lecture: Bruno Guerreiro Bruno J. N. Guerreiro is a Tenured Assistant Professor with NOVA School of Science and Technology, NOVA University Lisbon (NOVA FCT), also a researcher with CTS/Uninova/LASI and ISR-Lisbon/LARSYS. PhD in Electrical and Computer Eng. from IST, Portugal, 2013, with expertise focused on theoretical, practical, and technological challenges related to the use of aerospace robotics for civilian applications, with particular emphasis on sensor-based SLAM, model-based predictive control, trajectory planning and tracking, linear and nonlinear control, automatic LIDAR calibration, and modeling and instrumentation of aerospace and marine vehicles, among others. He is the coordinator of the CTS B2 Research Group and the Cyber-physical andAerospace Control Lab. Was a team member in more than 14 national, EU and Macanese funded research and innovation projects, the coordinator in 2 of them, participating in the development of 13 autonomous vehicles prototypes (3 marine and 10 aerial). Coauthor of more than 57 publications, 14 of which in Q1- SCOPUS journals, with more than 633 citations and an h-index of 14 (Google Scholar). He has advised 2 post-docs and 26 MSc students, while currently advising 3 PhD students, and 8 MSc students. He is involved in the creation of 2 new MSc programs and 1 new BSc’s program, helping to consolidate the Aerospace curricular offer at NOVA FCT, being the Coordinator of the MSc in Aerospace Engineering, and has been involved in 11 different curricular units (CUs) throughout 10 academic years. Lecture 1 (1 h) Introduction of the course Lecture 2 (2h): From rigid-body to drone dynamics Lecture 3 (2h): Optimal control of a simplified drone model Lecture 4 (2h): Nonlinear control and trajectory tracking Lecture 5 (2h): Advanced planning and control methods examples Lecture 6 (1h): Oral presentation of the students
In presenza
On site
Presentazione orale
Oral presentation
P.D.1-1 - Novembre
P.D.1-1 - November
• Nov 25, 14:00–16:00 – From rigid-body to drone dynamics • Nov 27, 09:00–12:30 – Optimal control and nonlinear trajectory tracking • Nov 28, 09:00–11:30 – Advanced planning and control examples Le lezioni si svolgono in sala Ferrari, DIMEAS.
• Nov 25, 14:00–16:00 – From rigid-body to drone dynamics • Nov 27, 09:00–12:30 – Optimal control and nonlinear trajectory tracking • Nov 28, 09:00–11:30 – Advanced planning and control examples Room Ferrari, DIMEAS.