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[ 481VRTRFMSV25 ] VL Advanced methods for Linear Systems
Versionsauswahl
(*) 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 2026W
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)
  • Explain and understand the basics of MIMO systems in the frequency domain (k3-k5)
  • Parametric and Non-parametric System Identification
  • Optimal State Controller (LQR)
  • Optimal State Observer (LQG)
  • Output regulation
  • Smith Predictor
  • MIMO systems in the frequency domain
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
Corresponding lecture (*)481VRTRFZMV22: VL Fortgeschrittene Zustandsraummethoden (3 ECTS) ODER 481VRTRFFMV22: VL Fortgeschrittene Frequenzbereichsmethoden (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence