545-0919/02 – Identification and Modelling (IAM)
| Gurantor department | Department of Economics and Control Systems | Credits | 10 |
| Subject guarantor | prof. Ing. Petr Noskievič, CSc. | Subject version guarantor | prof. Ing. Petr Noskievič, CSc. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2005/2006 | Year of cancellation | 2020/2021 |
| Intended for the faculties | FS, FMT, HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the subject is to meet students Automatization of Technological Processes Ph.D. study, with the methods of implementing computer models and simulation of the dynamic continuing systems.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The course introduces to the problems of creating dynamic mathematical models and with implementation of their computer models. It deals with the ways and methods of mathematical model development of continuos dynamic systems. It presents approximation methods both in time, as well as in frequency. Byond determinictic methods provides approaches of statistical dynamics of systems.
Compulsory literature:
L. G.BIRTA and G. ARBEZ: Modeling and Simulation, Springer London, 2007.
Recommended literature:
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Way of continuous check of knowledge in the course of semester
Individually check during the processing and consultancy of the project individually determined.
E-learning
Other requirements
Individuální, dle bližší specifikace vedoucího cvičení.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Systems and their mathematical models, differential - algebraic equation
2. Modeling, analytical identifikation of fundamental dynamic processes, priciples of mathematical modelling
3. Methods of dynamic systems identification
4. Input - output signals, step function response
5. Non - parameters methods
6. Deterministic time and frequency methods, experimental identification
7. Stochastic and correlation methods of experimental identification
8. Verification and test experiment
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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