Terminated in academic year 2020/2021

Identification and Modelling

Type of study	Doctoral
Language of instruction	English
Code	638-0905/03
Abbreviation	IM
Course title	Identification and Modelling
Credits	10
Coordinating department	Department of Automation and Computing in Industry
Course coordinator	prof. Ing. Zora Koštialová Jančíková, CSc.

Subject syllabus

Identification in the process of knowledge and in the process of control. Precarious and aposteriori information about identify system.
Classification of mathematical model. Identification of structure and of parameters systems.
Identification methods. Identification of method of mathematically- physical analysises.
Experimental method identification. Deterministic method identification.
Systems modelling by kind of similarities (mathematical, physical, mathematically- physical, cybernetic). Principle and common of description equational and of block oriented simulation programmes.
Classification models according to different standpoints. Mathematical simulation, analyst and experimental method recognition of mathematical system description.
Unconventional simulation - artificial intelligence (fuzzy model,expert model, model neuronal nets,genetic algorithm).
Model neuronal nets. Usage neuronal nets for simulation choice of technological process.

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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