ELE 829
System Models and Identification
Introduction to modern methods of linear system identification. Different types of models. Review of classic time- and frequency-based approach to empirical, 'black-box' system modeling. Non-parametric identification: impulse and step weights, spectral analysis. Parametric, discrete transfer function models from I/O data using Least Squares. Data-collection procedures, model structure selection, use of auto- and cross-correlation functions for diagnostics and model validation, overview of different estimation algorithms.
ELE 829 Requisite Information:
ELE 829 Let's You Take:
Prerequisite: ELE 639
- This course is not a prerequisite for any other courses.
Prerequisite: ELE 639
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