Model-based Identification and Estimation (etit-214)

Model-based identification and estimation
V-UE; 2+1 SWS; ECTS-Points: 4
Lecturer: Dr. Alexander Schaum
 

Overview

This lecture gives an introduction to identification and estimation methods by addressing the following topics:
 
  • System identification using first-principle  (white and grey box identification) as well as purely data-driven approaches (black box identification)
  • State and parameter estimation using observers and Kalman filters
     

Dates

Important information for summer term 2020
  • Unless not announced otherwise due to the Corona virus crisis the course will take place as a digital course.
  • Students should register until April 6th, 2020 using the OLAT resource of the course.
  • A preliminary online meeting will be announced on April 6th, 2020 

 

Downloads

Lecture notes

  • Chapter 1 will appear shortly before the start of the lecture (online lecture in summer term 2020)


Exercises

  • Exercises will appear here successively as the lecture progresses. 

Literature

References are provided in the lecture notes.

 

 

 

Research