Institute of Information Engineering, Automation, and Mathematics

Information sheet: Control of Multivariable Technological Processes

Course unit code:

A422R0_4I

Course unit title:

Control of Multivariable Technological Processes

Mode of delivery, planned learning activities and teaching methods:

lecture – 2 hours weekly (on-site method)
seminar – 2 hours weekly (on-site method)

Credits allocated:

Recommended semester:

Cybernetics in Chemical and Food Technologies – master (full-time, attendance method), 3. semester

Level of study:

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). The final grade will be determined in accordance with the rules set out in the STU study regulations.

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:

Recommended:

MIKLEŠ, Ján; FIKAR, Miroslav. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 s. ISBN 978-3-540-71969-4.
SKOGESTAD, Sigurd; POSTLETHWAITE, Ian. Multivariable Feedback Control: Analysis and Design. Chichester : John Wiley & Sons, 2005. 574 s. ISBN 0-470-01168-8.

Language of instruction:

Slovak, English

Course supervisor:

prof. Ing. Miroslav Fikar, DrSc.

Last modification:

6. 3. 2025

Department:

Department of Information Engineering and Process Control

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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