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Lecturer(s)
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Kubalčík Marek, prof. Ing. Ph.D.
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Course content
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- Basic terms and problems of modelling and system identification. - Classification of mathematical models, basic approaches to process identification. - Analytical and experimental methods of identification. - Deterministic methods of experimental identification. - Analysis of transient characteristics. - Analysis of frequency characteristics. - Models and input signals for experimental identification. - Identification of response on general deterministic input signal. - Statistical and random approach to process identification. - Correlation methods, regression identification methods. - Least squares method. - Recursive identification methods (least squares method and projection algorithm). - Selective, exponential and directional data forgetting.
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Learning activities and teaching methods
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Monologic (Exposition, lecture, briefing), Methods for working with texts (Textbook, book), Exercises on PC
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| prerequisite |
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| Knowledge |
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| System Theory Mathematical Statistics Optimization Discrete Control |
| System Theory Mathematical Statistics Optimization Discrete Control |
| learning outcomes |
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| classification of identification methods |
| classification of identification methods |
| classification of models which are results of identification |
| classification of models which are results of identification |
| choice of models suitable for individual identification methods |
| choice of models suitable for individual identification methods |
| signals suitable for excitation of identified systems |
| signals suitable for excitation of identified systems |
| principles of experimental identification |
| principles of experimental identification |
| Skills |
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| parametrization of step responses |
| parametrization of step responses |
| parametrization of frequency responses |
| parametrization of frequency responses |
| application of correlation methods for system identification |
| application of correlation methods for system identification |
| determination of parameters of regression models by means of the least squares method |
| determination of parameters of regression models by means of the least squares method |
| recursive identification of system's parameters with utilization of recursive identification algorithms |
| recursive identification of system's parameters with utilization of recursive identification algorithms |
| teaching methods |
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| Knowledge |
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| Monologic (Exposition, lecture, briefing) |
| Exercises on PC |
| Exercises on PC |
| Methods for working with texts (Textbook, book) |
| Methods for working with texts (Textbook, book) |
| Monologic (Exposition, lecture, briefing) |
| assessment methods |
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| Oral examination |
| Written examination |
| Written examination |
| Oral examination |
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Recommended literature
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Praktické aspekty samočinně se nastavujících regulátorů : algoritmy a implementace. 1. vyd. Brno : VUTIUM, 1999. ISBN 80-214-129-92.
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Bobál, Vladimír. Identifikace systémů. Vyd. 1. Zlín : Univerzita Tomáše Bati ve Zlíně, 2009. ISBN 978-80-7318-888-7.
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Fikar, M., Mikleš, J. Identifikácia systémov. Bratislava: STU, 1999. ISBN 8022711772.
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Iserman, R. and M. Munchhof. Identification of Dynamic Systems. An Introduction and Application. J. Willey & Sons., West Sussex, 2011. ISBN 978-3-540-78879-9.
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Keesman, K. J. System Identification. An Introduction.. Springer-Verlag London, 2011. ISBN 978-0-85729-521-7.
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Noskievič, P. Modelování a identifikace systémů. Montanex, Ostrava, 1999. ISBN 80-7225-030-2.
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