MAE 283AParametric Identification: Theory and Methods
Constructing dynamical models from experimental data. Deterministic and stochastic discrete time signals. Discrete time systems. Nonparametric identification: correlation and spectral analysis. Parametric identification: realization and prediction error methods, least squares estimation, approximate modeling. Experiment design. Frequency domain identification. Recommended preparation: MAE 143C.
Prerequisites
None listed in the catalog.
Courses that list MAE 283A as a prerequisite (1)
- MAE 283B Approximate Identification and Control