- Course unit code:
- 422I1_4I
- Course unit title:
- Identification
- Mode of completion and Number of ECTS credits:
- Exm (5 credits)
- Course supervisor:
- prof. Ing. Miroslav Fikar, DrSc.
- Name of lecturer(s):
- R. Paulen, J. Vargan (2023/2024 – Winter)
M. Mojto, R. Paulen (2022/2023 – Winter)
K. Fedorová, R. Paulen (2021/2022 – Winter)
M. Mojto, R. Paulen (2020/2021 – Winter)
Ľ. Čirka, M. Fikar (2019/2020 – Winter)
Ľ. Čirka, M. Fikar (2018/2019 – Winter)
Ľ. Čirka, M. Fikar (2017/2018 – Winter)
Ľ. Čirka, M. Fikar (2016/2017 – Winter)
Ľ. Čirka, M. Fikar (2015/2016 – Winter) - Learning outcomes of the course unit:
- Students know foundations of system identification, are able to estimate process parameters from experimental input/output data from step and frequency responses, to apply regression methods and their recursive variants.
- Prerequisites for registration:
- none
- Course contents:
1. Introduction to identification, basic terms, subject of system identification (allowance 1/1) 2. Identification procedure, structure selection, verification, input signals (allowance 1/1) 3. Step responses, 1st order model (allowance 1/1) 4. Step responses, 2nd order model (allowance 1/1) 5. Step responses, higher order models (allowance 1/1) 6. Autotuning (allowance 1/1) 7. Frequency analysis, construction of frequency responses, estimation of transfer functions (allowance 1/1) 8. Regression methods, estimation of parameters, identification of static models (allowance 1/1) 9. Regression methods, identification of dynamic models (allowance 1/1) 10. Recursive least squares, model identifiability, modifications of RLS (allowance 1/1) 11. Recursive LS, continuous-time models (allowance 1/1) 12. Models of linear dynamical systems, model verification (allowance 1/1) 13. Practical issues in identification (allowance 1/1) - Recommended or required reading:
- Basic:
- MIKLEŠ, J. – FIKAR, M. Identifikácia systémov. Bratislava : STU v Bratislave, 1999. 112 s. ISBN 80-227-1177-2.
- LJUNG, L. System Identification: Theory for the User. Upper Saddle River : Prentice Hall, 1999. 609 s. ISBN 0-13-656695-2.
- Planned learning activities and teaching methods:
- The course contains 13 lectures, each taking 2 hours and 13 laboratory practices, each taking 2 hours.
- Assesment methods and criteria:
- Written and oral examination
- Language of instruction:
- Slovak, English
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.
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