Module RO4400-KP08

Duration

1 Semester

Turnus of offer

every summer semester

Credit points

8

Course of studies, specific fields and terms:

• Master MES 2020, optional subject, computer science / electrical engineering
• Bachelor Robotics and Autonomous Systems 2020 , compulsory, Robotics and Autonomous Systems
• Bachelor Robotics and Autonomous Systems 2016, compulsory, Robotics and Autonomous Systems

Classes and lectures:

• Advanced Methods in Control (exercise, 1 SWS)
• Control Systems (lecture, 2 SWS)
• Advanced Methods in Control (lecture, 2 SWS)
• Control Systems (exercise, 1 SWS)

Workload:

• 110 hours private studies
• 90 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

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.

Grading through:

• written exam

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