325.107 Modelling and System Identification for Model Based Control
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 3.0EC, to be held in blocked form


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to...

  • ...to apply modern modelling methods of dynamic systems in technical practice.

  • ...to create models that are suitable for model-based control strategies.

  • ...to select those modelling techniques with which the best possible results can be expected for the present application.

  • ...to understand and classify modern modelling approaches in their functionality and to name their advantages and disadvantages.

  • ...to recognise difficulties in modelling and to overcome them.

Subject of course

  • Course introduction, regression, least squares, curve fitting
  • Introduction to neural networks, optimisation
  • Introduction to identification of dynamic systems
  • System identification of linear and nonlinear systems
  • Local model networks, blended multi-model systems, examples of utilisation of such models for control
  • Nonlinear systems identification with Gaussian process models, model inversion, examples of utilisation of GP models for control
  • Application of modelling techniques presented for industrial model-based control

Teaching methods

The lecture is interactive. It is based on a structured, detailed lecture script, whereby numerous multimedia contents (illustrative videos, practical examples, MATLAB animations of relevant contexts and controller behavior) are also used to support the building of knowledge and understanding.

Students are interactively involved in scientific discussions and in close interaction with the exercise in terms of content.

Mode of examination




Course dates

Fri10:00 - 12:0021.04.2023GM 3 Vortmann Hörsaal - VT First lecture part, held in presence format
Fri13:00 - 15:0021.04.2023Seminarraum BA 08B - MB First lecture part, held in presence format
Thu11:00 - 15:0011.05.2023Seminarraum Lehar EG Präsenztermin Vorlesung/Übung
Fri10:00 - 12:0012.05.2023Seminarraum BA 08B - MB Lecture unit
Fri13:00 - 15:0012.05.2023Seminarraum BA 08B - MB Lecture unit
Course is held blocked

Examination modalities

Oral exam


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri - 14.06.2024oral29.04.2024 00:00 - 07.06.2024 23:59TISSOral exam

Course registration

Begin End Deregistration end
16.02.2023 00:00 19.05.2023 23:59


Study CodeObligationSemesterPrecon.Info
700 FW Elective Courses - Mechanical Engineering Elective


No lecture notes are available.