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ENGG 149 - Introduction to Systems Identification

Description

This course provides the fundamentals of system identification theory and its applications to mechanical, electrical, civil, and aerospace systems. Several state-of-the-art identification algorithms in current engineering practice will be studied. The following topics are covered: discrete-time and continuous-time models, state-space and input-output models, Markov parameters, observer Markov parameters, discrete Fourier transform, frequency response functions, singular value decomposition, least-squares parameter estimation, minimal realization theory, observer/Kalman filter identification, closed-loop system identification, nonlinear system identification, recursive system identification, and introduction to adaptive control.

Prerequisites

ENGS 22 and ENGS 26, or equivalent

Offered

Term
Time
Location / Method
Instructor(s)
Term: Winter 2022
Time: J
Location:
Instructors:

Minh Q. Phan