italian version

Aims :

To describe basic problems in the construction of models for dynamical systems from experimental data. To provide basic techniques for system identification and modelling. To provide basic techniquesfor model validation. To develop practical skill in implementing the techniques and methods the students have learned.

Topics :

Introduction and generalities about model construction and systems identification from experimental data. Models and parametric identification. Data collection and related problems. Best model and identification techniques (LS, ML, recursive methods). Model validation.
Systems in state space form. Structural properties and relations between state space representations and external I/O representations. Realization of transfer function in state space form.


Textbooks :

S. Bittanti – Identificazione dei Modelli e Controllo Adattativi – Pitagora Editrice Bologna

Exam :

Written and oral, eventual partial tests during the development of the course

Tutorial Session :

Friday 10.00 a.m. - 11.00 a.m.