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Lecturer(s)
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Křupka Jiří, doc. Ing. PhD.
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Jirava Pavel, Ing. Ph.D.
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Course content
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Introduction to general system theory and general system characteristics. Static and dynamic systems description. Cybernetic systems examples. Definitions, division and introductory mathematical description of control systems. Elements and characteristics of linear control systems. Modelling and design of control systems simulation models. Tools for modelling and simulation of systems in MATLAB/Simulink/Continuous.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
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Learning outcomes
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The aim of the course is to provide theoretical knowledge in the field of system theory and control, as well as the skills necessary for designing simulation cybernetic economics models in MATLAB.
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.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written examination, Home assignment evaluation, Work-related product analysis
Assignment will be based on all the following: the theoretical subjective test; the term project - case study and its oral presentation; the short term assignment. The test examination will be held according to the theoretical knowledge discussed in the lectures.
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Recommended literature
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DORF, R. C. Modern Control Systems, 5th ed., Addison-Wesley : NY, 1990. ISBN 0-201-14278-3.
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Shinners, S. M. Advanced Modern Control System Theory and Design, John Wiley and Sons, Inc., NY, 1998. Wiley, 1998. ISBN 0471-31857-4.
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SKOGESTAD, S. - POSTLETHWAITE, I. Multivariable feedback control : analysis and design. Chichester : John Wiley & Sons, 1996.
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