Identification and Modelling

Type of study	Doctoral
Language of instruction	Czech
Code	654-0905/02
Abbreviation	IM
Course title	Identification and Modelling
Credits	10
Coordinating department	Department of Industrial Systems Management
Course coordinator	doc. Ing. Robert Frischer, Ph.D.

Subject syllabus

1. Identification in the knowledge and control process.
2. Methods of identification, a priori and a posteriori information about the identified system. Identification of structure and system parameters.
3. Identification by the method of mathematical-physical analysis.
4. Experimental identification methods. Deterministic and stochastic methods of identification.
5. System modelling by type of similarity (mathematical, physical, mathematical-physical, cybernetic).
6. Classification of models according to different aspects.
7. Principle and general description of equation and block-oriented simulation programs.
8. Model verification and simulation experiment.
9. Unconventional modelling - artificial intelligence (fuzzy models, expert models, models of neural networks, genetic algorithms).
10. Models of neural networks. Utilization of neural networks for selected technological processes modelling.

Literature

KEESMAN, K. J. System identification: an introduction. London: Springer, 2011. ISBN 978-0-85729-521-7.
PINTELON R. and J. SCHOUKENS. System Identification: A Frequency Domain Approach. 2nd ed. New York: Wiley, 2012. .
ISERMANN, R. and M. MÜNCHHOF. Identification of dynamic systems: an introduction with applications. Berlin: Springer, c2011. ISBN 978-3-540-78878-2.

Advised literature

KEESMAN, K. J. System identification: an introduction. London: Springer, 2011. ISBN 978-0-85729-521-7.
JUANG, Jer-Nan. Applied system identification. Englewood Cliffs: PTR Prentice Hall, c1994. ISBN 0-13-079211-X.

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