The course is divided in two parts: System identification and Control of uncertain systems. The student who successfully completes the course will be able:
- to possess the analytical tools for the estimation of uncertain quantities (parameters, state) in dynamic systems;
- to compute appropriate models of dynamic systems based on parameter estimation and processing of deterministic and stochastic measurements;
- to analyze and model multivariable linear systems under a large class of structured and unstructured uncertainties;
- to design robust controllers in the framework of norm-based performance and stability specifications.
- to write software advanced code for the digital implementation of advanced identification and control techniques.