System Identification

Subject: 
Electrical & Computer Engineering (ECE)
Catalog number: 
683
Unit weight: 
0.50
Meet type: 
LEC
Grading basis: 
NUM
Cross-listing(s): 
N/A
Requisites: 
N/A
Description: 
Estimation theory, linear and nonlinear regression, numerical techniques for parameter estimation for static and dynamic models, the Kalman filter and extensions, stochastic approximation, empirical dynamic models - especially for linear sampled data systems with stochastic inputs.
Topic titles: 
N/A
Faculty: 
Engineering (ENG)
Academic level: 
GRD
Course ID: 
000812