The goal of the course is to provide methodologies and tools for designing systems’ models to be used for control, estimation, diagnosis, prediction, etc. Different identification methods are considered, both in a “black box” context (where the structure of the system is unknown), as well as in a “grey box” (uncertainty on parameters) one. Methods are provided for choosing the complexity of the models, for determining the values of their parameters, and to validate them. Moreover, state estimation problems are addressed and their connections with control and identification are considered.
Ricevimento: Il docente riceve su appuntamento, concordato a voce telefonicamente o via email. Ufficio: v. Opera Pia 13 (PAD E), piano 3 E' possibile concordare un appuntamento su Teams.
MARCO BAGLIETTO (Presidente)
GIOVANNI INDIVERI
GIORGIO CANNATA (Presidente Supplente)
https://courses.unige.it/11160/p/students-timetable
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