Course unit code:
Course unit title:
Automatic Control Theory III
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:
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
Prerequisites for registration:
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 advanced theory of automatic control and process control, are able to work with multi-variable systems. Students can design control of heat exchangers, distillation columns, chemical reactors and other processes of chemical technology.
Course contents:
Adaptive control
Multivariable control (RGA analysis, decoupling control, MPC)
Process control (heat exchangers, distillation columns, chemical reactors, combustion, waste-water treatment plants)
Recommended or required reading:
  • MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 s. ISBN 978-3-540-71969-4.
  • SKOGESTAD, S. – POSTLETHWAITE, I. Multivariable Feedback Control: Analysis and Design. Chichester : John Wiley & Sons, 2005. 574 s. ISBN 0-470-01168-8.
Language of instruction:
Slovak, English
Assessed students in total:

A 50 %

B 21.9 %

C 15.6 %

D 12.5 %

E 0 %

FX 0 %

Name of lecturer(s):
M. Fikar, M. Horváthová (2021/2022 – Winter)
M. Fikar, L. Galčíková, M. Horváthová, J. Oravec (2020/2021 – Winter)
M. Fikar, P. Valiauga (2019/2020 – Winter)
M. Fikar, J. Oravec (2018/2019 – Winter)
M. Fikar, J. Oravec (2017/2018 – Winter)
M. Fikar, J. Oravec (2016/2017 – Winter)
M. Fikar, J. Oravec (2015/2016 – Winter)
Course supervisor:
prof. Ing. Miroslav Fikar, DrSc.
Last modification:
19. 9. 2019

Department of Information Engineering and Process Control

AIS: 2021/2022   2019/2020   2018/2019   2017/2018  

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