Model-based Identification and Estimation (etit-214)

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


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


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 



Lecture notes

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


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.


References are provided in the lecture notes.