Course detail
Modelling and Identification
FEKT-MKC-MIDAcad. year: 2024/2025
Not applicable.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
Aims
Study aids
Prerequisites and corequisites
Basic literature
Soderstrom, T., Stoica, P.: System Identification. Prentice Hall International, 1989
Recommended reading
Isemrann, R., Munchhof, M. : Identification of Dynamic Systems - An Introduction with Applications. Springer 978-540-78878-2, 2011.
Noskievič, P.: Modelování a identifikace systémů. Montanex Ostrava 1999
Šimandl, M.: Identifikace systémů a filtrace. Západočeská univerzita v Plzni, 2001, ISBN 80-7082-170-1.
Elearning
Classification of course in study plans
- Programme N-AIŘ-K Master's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
1. Brief introduction into system identification.
2. Parameter identification from impulse and step response.
3. Identification using correlation methods, frequency.
4. Spectral analysis.
5. Input signals for identification, least squares method.
6. Recursive least squares method.
7. Instrumental variable methods.
8. System Identification Toolbox.
9. Identification methods base on whitening of prediction error.
10. Extended frequency analysis, PMS motor parameters identification.
11. Identification using recursive least squares method.
12. Test + work on project.
13. Real experiment - DC motor parameters identification.
Guided consultation
Teacher / Lecturer
Syllabus
Consultations with students.
Elearning