System Identification and Parameter Estimation 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 nonlinear and/or time-varying systems.
This course may not be repeated for credit.
Prerequisite(s)
- Electrical Engineering 649
Sections
This course will be offered next in
Winter 2010.