Gurantor department | Department of Automation and Computing in Industry | Credits | 5 |

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

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 3 | Semester | winter |

Study language | Czech | ||

Year of introduction | 2019/2020 | Year of cancellation | |

Intended for the faculties | FMT | Intended for study types | Bachelor |

Instruction secured by | |||
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Login | Name | Tuitor | Teacher giving lectures |

DAV47 | doc. Ing. Jiří David, Ph.D. |

Extent of instruction for forms of study | ||
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Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 3+2 |

Combined | Credit and Examination | 16+0 |

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.

Písemný test a ústní zkoušení.

Getting to know the practical identification of the industrial system.

Subject has no prerequisities.

Subject has no co-requisities.

1. Identification in the process of knowledge and in the process of control.
2. Precarious and aposteriori information about identify system.
3. Classification of mathematical model.
4. Identification of structure and of parameters systems.
5. Identification methods.
6. Identification of method of mathematically- physical analysises.
7. Experimental method identification.
8. Deterministic method identification.
9. Formulation of mathematical description of continuous linear systems.
10.Determination of static and of dynamic feature systems, analysis of transient characteristic.
11. Identification method of gradual integration.
12.Statistical method identification.
13.Description of systems of difference equation, Z transformation
14.Stochastic process, statistical analysis of measured data.

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
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Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 35 | 25 |

Examination | Examination | 65 | 26 |

Show history

Academic year | Programme | Field of study | Spec. | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
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2019/2020 | (B0488A270001) Quality Management and Control of Industrial Systems | (S03) Computer Control Systems in Industry | P | Czech | Ostrava | 3 | Compulsory | study plan | |||

2019/2020 | (B0488A270001) Quality Management and Control of Industrial Systems | (S03) Computer Control Systems in Industry | K | Czech | Ostrava | 3 | Compulsory | study plan |

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