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Lecturer(s)
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Jirava Pavel, Ing. Ph.D.
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Komárková Jitka, prof. Ing. Ph.D.
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Belludi Suraj
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Course content
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Introduction to general system theory and general system characteristics. Cybernetic systems examples. Logical and fuzzy systems. Static and dynamic systems description. Definitions, division and introductory mathematical description of control systems. Elements and characteristics of linear control systems. Selected characteristics of linear control systems in time and frequency domain. Tools for modelling and simulation of systems in MATLAB\Simulink. Modelling and design of control systems simulation models.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Home preparation for classes
- 48 hours per semester
- Contact teaching
- 52 hours per semester
- Preparation for an exam
- 50 hours per semester
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Learning outcomes
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The aim of the course is to provide students with theoretical knowledge in field of systems theory and control, and skills in the creation of simulation cybernetic economic models in MATLAB.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation, Work-related product analysis
Assignment is conditional to minimum attendance at seminars (laboratories) and completion of all continuous tasks set at seminars. Exam is both written and oral.
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Recommended literature
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DORF, Richard C. Modern control systems. NY: Addison-Wesley, 1990.
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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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