Credits: 5

Schedule: 11.09.2019 - 04.12.2019

Contact information for the course (applies in this implementation): 

Kourosh Latifi, email:

Jin Tao, email:

Artur Kopitca, email:

Teaching Period (valid 01.08.2018-31.07.2020): 

II (autumn) 2018 - 2019
II (autumn) 2019 - 2020

Learning Outcomes (valid 01.08.2018-31.07.2020): 

After completing the course, a student can select proper modeling approach for specific practical problems, formulate mathematical models of physical systems, construct models of systems using modeling tools such as MATLAB and Simulink, and estimate the parameters of linear and nonlinear static systems and linear dynamic systems from measurement data.

Content (valid 01.08.2018-31.07.2020): 

Basic modeling methods, including first principle modeling and data-driven modeling, for both static and dynamic systems: first principle modeling, black box modeling, regression methods, static parameter estimation for linear and non-linear systems, identification of linear time-invariant dynamical systems, model validation.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Home assignments.

Workload (valid 01.08.2018-31.07.2020): 

Lectures, exercise sessions, independent study and problem solving, home assignments.

Contact hours: 24 + 12 h
Independent study: 94 h


Study Material (valid 01.08.2018-31.07.2020): 

Handouts/lecture slides, Ljung, Modeling of dynamic systems, 1994, additional book chapters.

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Programming in Matlab, Matrix and Linear Algebra, Basic course in Control Engineering or relevant knowledge.

Grading Scale (valid 01.08.2018-31.07.2020): 


Further Information (valid 01.08.2018-31.07.2020): 

language class 3: English


Registration and further information