Gurantor department | Department of Automation and Computing in Industry |

Subject guarantor | doc. Ing. Jiří David, Ph.D. |

Study level | undergraduate or graduate |

Subject version | |||
---|---|---|---|

Version code | Year of introduction | Year of cancellation | Credits |

638-2012/01 | 2014/2015 | 4 | |

638-2012/02 | 2019/2020 | 5 |

Student will be able to formulate the basic methods of creation of mathematical description of dynamic systems for simulation purposes and synthesis of their control.
Student will get an overview of the basic methods of mathematic-physical analysis and of experimental identification methods.
Student will be able to analyze real dynamic systems a for their mathematical description use appropriate identification methods.

Lectures

Tutorials

Course deals with methods of mathematical description of controlled systems
creation, using mathematical - physical analysis and experimental identification methods. As next in the course deterministic methods of identification, identification with random progression of input parameters of systems being identified and methods of impulsive and continuous adaptive identification are
explained.

KEESMAN, K. J. System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing). London: Springer/Verlag London Limited, 2011. ISBN: 978-0857295217.
ISERMANN, R and M. MÜNCHHOF. Identification of Dynamic Systems: An Introduction with Applications. Berlin: Springer/Verlag Berlin Heidelberg, 2011. ISBN: 978-3540788782.
LJUNG, L. System Identification: Theory for the User. New Jersey: Prentice hall, 1999. ISBN: 978-0136566953.

ISERMANN, R. and M. MÜNCHHOF.:Identification of Dynamical Systems: An Introduction with Applications. Springer, 2011. ISBN 9783540788799.
SCHOUKENS, J., R. PINTELON and Y. ROLAIN. Mastering System Identification in 100 Exercises. New Jersey: Wiley-IEEE Press, 2012. ISBN: 978-0470936986.

Subject has no prerequisities.

Subject has no co-requisities.