# Institute of Information Engineering, Automation, and Mathematics

Course unit code:
422I1_4I
Course unit title:
Identification
Mode of delivery, planned learning activities and teaching methods:
lecture – 2 hours weekly (on-site method)
laboratory practice – 2 hours weekly (on-site method)
Credits allocated:
5
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 2. semester
Level of study:
2.
Prerequisites for registration:
none
Assesment methods:
The course is evaluated as follows: 30% work during the semester, 30% written examination, and 40% oral examination (theory). Evaluation scale follows the standard scale of the faculty.
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.
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)
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.
Language of instruction:
Slovak, English
Assessed students in total:
128

### FX 3.9 %

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)
Course supervisor:
prof. Ing. Miroslav Fikar, DrSc.
Last modification:
19. 9. 2019

LMS Moodle:
Lecture
Laboratory practice
Department:
Department of Information Engineering and Process Control