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| Detailed information |
| Original study plan |
Master's programme Mechatronics 2023W |
| 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.
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| 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.
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| Criteria for evaluation |
Oral exam
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| Methods |
Computer-aided solving of practical examples
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| Language |
German |
| Study material |
JKU KUSSS and/or Moodle
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
MEMWBPRPAU2: PR Control System Technology Lab 2 (2010S-2022S)
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