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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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Mathematical description of dynamic control systems. System control characteristics. System modelling and identification. Tools for system modelling and simulation in MATLAB and designing m-files in MATLAB. Synthesis of continuous linear control systems. Analysis and synthesis of discreet, adaptive and fuzzy control systems. "Soft" control systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities
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Learning outcomes
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The aim of the course is to get the students to understand the necessity of an interdisciplinary approach to system study, solving problems of complexity and inner dependency among the system elements, as well as to teach them skills to create simulation cybernetic economic models in MATLAB.
The students will be able to design a mathematical model of systems of logical control, continuous linear control, discrete control systems, adaptive control and fuzzy control system type in MATLAB/Simulink and to analyse the results.
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Prerequisites
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Assumed elementary knowledge of logic, fuzzy and linear continuous control.
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Assessment methods and criteria
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Written examination
Assignment is conditional to the following requirements: - minimum attendance at seminars in compliance with the relevant regulations - completion of continuous tasks at seminars - passing the final test at the final seminar The examination is written.
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Recommended literature
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CLEMSTON, B. Cybernetics: a New Management Tool. 2nd printing, Philadelphia, Pennsylvania: Gordon and Breach Science Publisher S. A., 1991, ISBN 2-88124-518-8.
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CHEN, Ch. T. Linear System Theory and Design. 3rd edition, New York: Oxford University Press, 1999, ISBN 0-19-511777-8.
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NISE, N. S. Control Systems Engineering. 4th edition, John Wiley & Sons, Inc., 2003,.
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SKOGESTAD, S. - POSTLETHWAITE, I. Multivariable feedback control : analysis and design. Chichester : John Wiley & Sons, 1996.
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