System Identification

[0.50] credits · Graduate

This course introduces theory and techniques related to system identification. Emphasis is focused on time-series data-based modelling theory and techniques (e.g., non-parametric, parametric, spectrum analysis, nonlinear, closed-loop identification, and machine learning-based methods), model validation, input design, and applications in forecasting, analysis, and control. Students are expected to have already taken relevant undergraduate courses in systems analysis and control.