Learning And Estimation Of Dynamical Systems M – Bologna

Argomenti del programma: Introduction Systems and models. Mathematical models. Physical modeling and black-box (data-driven) modeling. System identification and machine learning. Types of learning. Regression and classification. Learning from data flowchart. Brief review of stochastic processes Stationary processes and their properties. Ergodic processes. Sample estimates of first and second order moments.