Module ME4500 T

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

• Master MES 2020, module part, computer science / electrical engineering
• Master MES 2014, module part, computer science / electrical engineering
• Master Computer Science 2014, module part, specialization field robotics and automation

Classes and lectures:

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

Workload:

• 20 hours exam preparation
• 45 hours in-classroom work
• 55 hours private studies

Contents of teaching:

• State space models, canonical representations and properties
• Design of state feedback controllers and state observers
• Optimal control and state estimation
• Linear parameter-varying systems
• Model predictive control

Qualification-goals/Competencies:

• 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 class of linear, parameter-varying systems and the basic principles of controller synthesis for this class of systems.
• Students understand the concept of model-predictive control and know how to implement such a control strategy.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Siehe Hauptmodul
• Prof. Dr. Philipp Rostalski

Teacher:

• Institute for Electrical Engineering in Medicine
• Prof. Dr. Philipp Rostalski

Literature:

• J. Lunze : Regelungstechnik 2 Springer Verlag 2012, ISBN: 3642539432
• G.F. Franklin, J. Powell, A. Emami-Naeini : Feedback Control of Dynamic Systems Global Edition – Pearson 2014, ISBN: 1292068906

Language:

• offered only in German

Notes:

Last Updated:

13.12.2022