Inhalt

[ 481VRTRFZMP22 ] PR Advanced State-Space Methods

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mechatronics Kurt Schlacher 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2021W
Objectives Deepened unterstanding of advanced analysis and design methods for the class of linear and time invariant systems. Utilisation of linear algebra for the analysis of dynamical systems.

The level of the mathematical methods used to describe the dynamic systems, to design the control laws and to synthesize the control circuits corresponds roughly to that in the textbooks D. Simon, Optimal State Estimation, Wiley-VCH Verlag GmbH & Co.KG, 2006 New Jersey; D. Luenberger, Optimization by Vector Space Methods, John Wiley & Sons, 1969 New York; L. Ljung, System Identification: Theory for the User, Prentice Hall, 1999 New Jersey.

Subject Parametric processidentification, least squares methods, projection theorem, eigenvalue placement for single input and multi input systems, normalforms for single input and multi input systems, the reduced observer, optimization with linear constrains, dynamical programming, minimum varianz and gauß-markov estimator, kalman-filter, separations principle, distrubance observer, internal modells.
Criteria for evaluation Oral exam
Methods Computer-aided solving of practical examples
Language German
Study material JKU KUSSS and/or Moodle
Changing subject? No
Further information Until term 2022S known as: MEMWBPRPAU2 PR Control System Technology Lab 2
On-site course
Maximum number of participants 10
Assignment procedure Assignment according to sequence