Es ist eine neuere Version 2026W dieser LV im Curriculum Master's programme Medical Engineering 2026W vorhanden.
(*) Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M - Master's programme
Mechatronics
Markus Schöberl
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Mechatronics 2025W
Learning Outcomes
Competences
Students will be able to analyze system and control theory properties of linear systems in the time and frequency domain using advanced mathematical methods, perform parameter identification and design controllers and observers on this basis.
Skills
Knowledge
Specifically, they can
Describe, analyze and apply identification methods (k3-k5)
Understand the basics of optimal state controllers and optimal state observers and apply designs to specific systems (k2, k3, k6)
Explain and design output controllers (k2, k3)
Explain and practically implement the Smith predictor (k2, k3)
Parametric and Non-parametric System Identification
Optimal State Controller (LQR)
Optimal State Observer (LQG)
Output regulation
Smith Predictor
Criteria for evaluation
oral exam
Methods
Lecture with blackboard and slides
Language
German
Study material
JKU KUSSS and/or Moodle
Changing subject?
No
Further information
The courses VL Advanced methods for Linear Systems and PR Advanced methods for Linear Systems form an inseparable didactic unit. The learning outcomes described below are achieved through the interaction of the two courses
