ENEL631
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System Identification & Learning
Dept of Elec & Soft EnggEN - Schulich School of Engineering
Subject
ENEL - Electrical Engineering
Description
Parametric models of linear time-invariant systems. System and noise models. Estimation of model parameters. Structure and order selection. Model validation. Convergence and sensitivity analysis. Experiment design. MIMO systems. Subspace methods. Introduction to non-linear and/or time-varying systems.
Prerequisite(s): Admission to the PhD in Electrical and Computer Engineering or the MSc in Electrical Engineering.
Prerequisite(s): Admission to the PhD in Electrical and Computer Engineering or the MSc in Electrical Engineering.
Domestic Fee Rate Group
B
International Fee Rate Group
D
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Units
3
Repeat for Credit
No
Subject code
ENEL