[ 481WLVAAPRK22 ] KV Adaptive and predictive Control

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Mechatronics Andreas Müller 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2022W
Objectives Extension of the known control methods to a class of time-varying systems (e.g., change of material properties, fatigue). Introduction to predictive control.
  • Repetition of the relevant system theoretical fundamentals
  • Identification: Advanced methods for modeling using measurement data
  • Recursive Identification
  • Model reference adaptive system
  • Gain Scheduling
  • Predictive Control
Criteria for evaluation written exam
Methods Lecture
Language German
Study material Lecture notes will be distributed
Changing subject? No
Further information none

Until term 2022S known as: MEMPBKVAPRE KV Adaptive and predictive Control
Earlier variants They also cover the requirements of the curriculum (from - to)
MEMPBKVAPRE: KV Adaptive and predictive Control (2009W-2022S)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence