Module RO4400-KP12

Duration

1 Semester

Turnus of offer

every summer semester

Credit points

12

Course of studies, specific fields and terms:

• Master MES 2020, advanced module, computer science / electrical engineering
• Master MES 2014, advanced module, computer science / electrical engineering

Classes and lectures:

• Practical Course in Control Systems (practical course, 3 SWS)
• Control Systems (exercise, 1 SWS)
• Advanced Methods in Control (lecture, 2 SWS)
• Control Systems (lecture, 2 SWS)
• Advanced Methods in Control (exercise, 1 SWS)

Workload:

• 185 hours private studies
• 135 hours in-classroom work
• 40 hours exam preparation

Contents of teaching:

• Modelling and linearisation of dynamic systems
• Dynamic behavior of systems
• Feedback concepts
• Controller design in time domain
• System representation in frequency domain
• Stability
• Controller design in frequency domain
• State space models, canonical representations and properties
• Design of state feedback controllers and state observers
• Optimal control
• An introduction to digital control
• Planning and realization of typical control applications

Qualification-goals/Competencies:

• Students can model physical systems mathematically as well as describe and analyze their dynamic behavior.
• Students know the fundamental tools and can formulate requirements with respect to systems in the time and frequency domain. Students are able to design control loops using time and frequency domain-based tools.
• Students are able to analyze stability of feedback systems and can evaluate the resulting dynamic properties with respect to control performance and robustness.
• Students know how to describe and analyze state space models.
• Students know how to synthesize and design state feedback controllers.
• Students know how to design observers and observer-based controllers.
• Students know the basics about optimal control and how to utilize it.
• Students know the fundamentals of digital control and are able to model, analyse and implement discrete-time control systems.
• Students will have comprehensive knowledge of using control algorithms in practice.
• They are able to carry out small control engineering projects independently.
• They have the communication competency to document and present project results.

Grading through:

• Oral examination

Responsible for this module:

• Prof. Dr. Philipp Rostalski

Teacher:

• Institute for Electrical Engineering in Medicine
• Prof. Dr. Philipp Rostalski
• Prof. Dr.-Ing. Christian Herzog
• Dr.-Ing. Hossam Abbas

Literature:

• J. Lunze : Regelungstechnik 1: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen Springer Vieweg 2020
• J. Lunze : Regelungstechnik 2: Mehrgrößensysteme, Digitale Regelung Springer Vieweg 2020

Language:

• German and English skills required

Notes:

Last Updated:

11.09.2026