Module CS4480-KP04

Duration

1 Semester

Turnus of offer

irregularly in the summer semester

Credit points

4

Course of studies, specific fields and terms:

• Master MES 2020, optional subject, computer science / electrical engineering
• Master MES 2014, optional subject, computer science / electrical engineering
• Master Robotics and Autonomous Systems 2019, optional subject, Additionally recognized elective module

Classes and lectures:

• System Identification (exercise, 1 SWS)
• System Identification (lecture, 2 SWS)

Workload:

• 45 hours in-classroom work
• 10 hours exam preparation
• 65 hours private studies and exercises

Contents of teaching:

• Introductory topics:
• Discretization and Discrete-time (DT) models
• Least-square estimation
• Main topics:
• Parametric model identification: Prediction error method, Subspace identification
• Non-parametric model identification
• Data-driven models
• Model Validation

Qualification-goals/Competencies:

• The students can explain the general framework and basic properties of different identification methods including least-squares method, the prediction error method, the subspace method, standard non-parametric methods and the data-driven method.
• Students can formulate and implement algorithms for system identification.
• students are able to estimate mathematical models of a dynamical system from input-output data using the different methods presented in this course.
• They can evaluate the quality of the identified models.
• They can use Matlab System Identification Toolbox to identify linear dynamical models using different identification methods.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Prof. Dr. Philipp Rostalski

Teacher:

• Institute for Electrical Engineering in Medicine
• Dr.-Ing. Hossameldin Abbas

Literature:

• Karel J. Keesman : System Identification: An Introduction Springer-Verlag London Limited 2011
• Lennart Ljung and Torkel Glad : Modeling of Dynamic Systems Prentice Hall 1994
• Lennart Ljung : System Identification - Theory for the User Prentice Hall 1999

Language:

• offered only in English

Notes:

Last Updated:

31.08.2022