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Lecturer(s)
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Kopáčková Hana, doc. Ing. Ph.D.
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Course content
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System approach and system thinking Static systems Dynamic systems Mathematical description of linear dynamic control systems.Analysis of systems in the time and frequency domain. Nonlinear systems Fuzzy systems Discrete systems Tools for modeling and simulation of systems in MATLAB and Vensim Soft control systems System dynamics Archetypes of systems Modeling of social dynamic systems Modeling of economic dynamical systems
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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 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.
A student who has successfully completed the course can: characterize the dynamic control system and describe its basic characteristics, define mathematical models of linear, nonlinear and fuzzy systems, work in MATLAB and Vensim tools. A student who has successfully completed the course will be able to: solve more complex tasks in the management of social and economic problems, recognize a suitable mathematical model for a given area of problem solving, create a proposal for different classes of management models, control the basic MATLAB and Vensim environments. A student who has successfully completed the course is able to: clearly communicate to experts and lay people information about the nature and laws of linear, nonlinear, fuzzy and discrete control systems in the technical and socio-economic areas, create a mathematical model and then implement and analyze it in MATLAB and Vensim, summarize and clearly present the mathematical model and the results obtained from the simulation tool, independently acquire additional professional knowledge, skills and competences in the field.
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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, Student performance assessment, Work-related product analysis
Assignment requirements: - minimum attendance at seminars in compliance with the relevant regulations - completion of tasks at seminars The examination is written and oral.
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Recommended literature
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DORF, Richard C., BISHOP Robert H. Modern control systems. 1998. ISBN 0-201-30864-9.
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NISE, N. S. Control Systems Engineering. New York: John Wiley, 2003.
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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. Advanced Modern Control System Theory and Design. New York: John Wiley, 1998.
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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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SKOGESTAD, S. - POSTLETHWAITE, I. Multivariable feedback control : analysis and design. Chichester : John Wiley & Sons, 1996.
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