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)

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.

Language of instruction:

Slovak, English

Assessed students in total:

128

A 27.3 %

B 33.6 %

C 19.5 %

D 14.1 %

E 1.6 %

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:

doc. Ing. Radoslav Paulen, PhD.

Last modification:

19. 9. 2019

AIS: 2024/2025   2023/2024   2021/2022   2019/2020   2018/2019   2017/2018