Course detail

Modelling and Identification

FEKT-MKC-MIDAcad. year: 2023/2024

Not applicable.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Blaha, Ph.D.

Department

Department of Control and Instrumentation (UAMT)

Entry knowledge

Not applicable.

Rules for evaluation and completion of the course

Not applicable.

Aims

Not applicable.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Ljung, L.: System Identification, Theory for the User, Prentice Hall, 1999
Soderstrom, T., Stoica, P.: System Identification. Prentice Hall International, 1989

Recommended reading

Fikar, M., Mikleš, J.: Identifikácia systémov. STU Bratislava 1999
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.
Isemrann, R., Munchhof, M. : Identification of Dynamic Systems - An Introduction with Applications. Springer 978-540-78878-2, 2011.

eLearning

eLearning: currently opened course

Classification of course in study plans

  • Programme N-AIŘ-K Master's, 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Petr Blaha, Ph.D.

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

26 hours, optionally

Teacher / Lecturer

doc. Ing. Petr Blaha, Ph.D.

Syllabus

Consultation with students.

eLearning

eLearning: currently opened course