Studienhandbuch | KV Optimization

Inhalt

^(*) 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 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?

Corresponding lecture

^(*)MEMWBVOOPMS: VO Optimale Regelung mechatronischer Systeme (3 ECTS)

On-site course
Maximum number of participants	-
Assignment procedure	Assignment according to sequence