654-3025/01 – Control systems in industry (SŘP)

Gurantor departmentDepartment of Industrial Systems ManagementCredits5
Subject guarantordoc. Ing. Jiří David, Ph.D.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageCzech
Year of introduction2022/2023Year of cancellation
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
DAV47 doc. Ing. Jiří David, Ph.D.
GRY0035 Ing. Ondřej Grycz, Ph.D.
SVE05 Ing. Pavel Švec, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 3+2
Part-time Graded credit 0+16

Subject aims expressed by acquired skills and competences

The student will be able to analyze various control systems and will be able to apply modern measuring and diagnostic devices and systems based on conventional and unconventional methods of control. The student will be able to define and create tasks in various industrial applications using modern technical means of automation.

Teaching methods

Project work


The subject deals with the problems of industrial systems management focused on communication standards and programmable automata in industry, application of artificial intelligence methods in industrial conditions. Attention is also paid to computer support for determining the reliability of industrial systems using industrial diagnostic tools. Continuous sensing of technological variables and the conclusion of digital image processing are also discussed.

Compulsory literature:

WALTER J. G. and T. L. VINCENT. Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9. TATJEWSKI, P. Advanced Control of Industrial Processes: Structures and Algorithms. New York: Springer Science & Business Media, 2007. ISBN 9781846286353. ZHANG, P. Advanced Industrial Control Technology. New York: William Andrew, 2010. ISBN: 9781437778083.

Recommended literature:

FORTUNA, L. et. al. Soft Sensors for Monitoring and Control of Industrial Processes. New York: Springer Science & Business Media, 2007. ISBN: 9781846284809. GRIMBLE, M. J. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems. New York: John Wiley & Sons, 2006. ISBN: 9780470020746. CAMACHO, E. F. and C. B. ALBA. Model Predictive Control. New York: Springer Science & Business Media, 2013. ISBN: 9780857293985. LIU, T. and F. GAO. Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods. New York: Springer Science & Business Media, 2011. ISBN: 9780857299772.

Way of continuous check of knowledge in the course of semester

Prezentace projektu a ústní zkoušení.


Other requirements

Project processing of control of industrial system.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Communication standards and programmable logic controllers in industry 2. Automatization dust dispensing from the tray 3. Artificial intelligence methods in industrial conditions 4. Application of fuzzy clustering to process control 5. Computer support to determine the reliability of industrial systems. 6. Industrial diagnostics 7. Lifetime of the mold 8. Device for remote control of the diagnostic system 9. Calculation of the temperature parameters of the material from the combined heat capacity model 10. Continuous industrial measuring systems 11. Continuous detection of toxic and explosive gases 12. Continuous humidity measurement by microwave method under operating conditions. 13. Digital image processing, edge detection in picture 14. The use of computer techniques for prediction of internal defects of castings 15. Adaptive Management in Industry

Conditions for subject completion

Part-time form (validity from: 2022/2023 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation: Attendance at seminars min 80%. Elaboration of assigned tasks.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2022/2023 (N0413A270002) Quality Management and Control of Industrial Systems (S03) Intelligent Control Systems in Industry P Czech Ostrava 2 Compulsory study plan
2022/2023 (N0413A270002) Quality Management and Control of Industrial Systems (S03) Intelligent Control Systems in Industry K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner