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Lecturer(s)
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Křupka Jiří, doc. Ing. PhD.
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Course content
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Course contents: 1. Introduction to General system theory, Industry 4.0 and Industrial Internet of Things. 2. Classifications and characteristics of systems. 3. Cybernetic systems examples. 4. MATLAB\Simulink - Tools for systems modelling and simulation. 5. Logical and fuzzy systems. 6. Fuzzy controller design. 7. Mathematical description of linear control systems. 8. Signal-flow graph and Block diagram models. 9. Selected characteristics of linear control systems in time and frequency domain. 10. Stability of control system. 11. Accuracy of control system. 12. Modelling and design of discrete control systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Contact teaching
- 39 hours per semester
- Home preparation for classes
- 24 hours per semester
- Preparation for an exam
- 24 hours per semester
- Writing a seminar paper
- 24 hours per semester
- Preparation for a credit (assessment)
- 24 hours per semester
- Preparation of a presentation (report) in a foreign language
- 24 hours per semester
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Learning outcomes
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The aim of the course is to provide students with elementary theoretical knowledge in field of systems theory and control, and to build skills in the creation of simulation cybernetic models in MATLAB\Simulink.
Students will be able to use mathematical tools for the analysis of logical, continuous linear and fuzzy control systems, based on which they can design a mathematical model and apply and analyse it in MATLAB and Simulink.
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Prerequisites
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N/A
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation, Work-related product analysis
The assignment is contingent upon the student's attendance at seminars (laboratories) and the satisfactory completion of continuous tasks set at seminars. The examination is an oral examination that follows the written test.
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Recommended literature
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BERTALANFFY, Ludwig von. General system theory: foundations, development, applications. New York: Braziller, 1969. ISBN 0-8076-0453-4.
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DORF, Richard C. a BISHOP, Robert H. Modern control systems. Harlow: Pearson Education Limited, 2022. ISBN 978-1-292-42237-4.
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NISE, Norman S. Control systems engineering: international student version. Hoboken: John Wiley, 2011. ISBN 978-0-470-64612-0.
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PEDRYCZ, Witold. Fuzzy control and fuzzy systems. Taunton: Research Studies Press, 1993. ISBN 0-86380-131-5.
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ROSS, Timothy J. Fuzzy logic with engineering applications. Chichester: John Wiley, 2004. ISBN 0-470-86075-8.
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SHINNERS, Stanley M. Modern control system theory and design. New York: John Wiley, 1998. ISBN 0-471-24906-8.
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