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

  •  Complete lecture notes (summer term 2020)
  • Presentation slides can be downloaded from OLAT (only registered students).


Exercises

Note that exercises 6 and 12 correspond to the miniproject on the Temperature Control Lab and are not included in the set of exercises and solutions.

Literature

References are provided in the lecture notes.

 

 

 

Research