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[ 481VRTROPTK22 ] KV Optimization
Versionsauswahl
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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 are able to formulate optimization problems, understand solution methods and learn how to apply them to control engineering problems.
Skills Knowledge
Specifically, they can

  • Formulate optimization problems (k2,k3)
  • Explain solution methods for static optimization problems in the unconstrained and constrained case and apply them to examples (k2,k6)
  • Explain solution methods for dynamic optimization problems and apply them to examples (k2,k6)
  • Introductory examples and mathematical basics
  • Static optimization: Unconstrained case
  • Static optimization with constraints
  • Dynamic optimization
Criteria for evaluation Oral exam
Methods Blackboard and slide presentation, use of modern software tools.
Language German
Study material JKU KUSSS and/or Moodle
Changing subject? No
Corresponding lecture (*)MEMWBVOOPMS: VO Optimale Regelung mechatronischer Systeme (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence