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Course Control Theory deals with basic and advanced principles and methods of feedback control of SISO linear dynamical systems. Students are gradually introduced to the mathematical foundations of control theory, modeling of controlled and control systems, analysis of their properties in the time domain, the most important types of feedback controllers and their properties, stability of control circuits and basic design methods of feedback control systems in the time domain. All procedures are applied to the solution of typical examples. Computational and visualization system Matlab and the Control System Toolbox is used for modelling, analysis and design of control systems and for solving typical problems and individual projects.
Last update: Hanta Vladimír (01.07.2013)
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Students will be able to:
Last update: Hanta Vladimír (01.07.2013)
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R: Pao, C. Chau: Process Control: a First Course with MATLAB. Cambridge University Press, Cambridge, 2002, 0-521-00255-9. R: Benjamin C. Kuo: Automatic Control Systems. Prentice-Hall, 1991, 0-13-051046-7. R: MankeB.S.: Linear Control Systems.Khanna Publishers, 2009. 81-7409-107-6. A: Franklin, G. F., Powell, J. D., Emami-Naeini, A.: Feedback Control of Dynamic Systems. Prentice-Hall, New Jersey, 2002, 0-13-098041-2. Last update: SOUSKOVH (01.02.2018)
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Přednášky a výpočetní semináře Řešení vzorových příkladů z oblasti automatického řízení Práce v prostředí výpočetního a vizualizačního programu Matlab Použití Symbolic Math Toolbox a Control System Toolbox Vypracování samostatných projektů Last update: Hanta Vladimír (26.06.2013)
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1. Dynamic systems. Fundamentals of Laplace transform. 2. External description of dynamic systems. 3. Continuous-time system analysis. Time response analysis of dynamic systems. 4. Internal description of dynamic systems. 5. Stability analysis of dynamic systems. 6. Algebra of block diagrams. Cloosed-loop control system. Transfer functions. 7. PID controllers, description and characteristics of basic types of controllers. 8. Quality of control performance, their criteria and comparison. 9. Empirical methods of control design. 10. Standard methods of control design. 11. Control design in state space. Controllability, observability. 12. MIMO systems. 13. Z-transform. Sampling. Discrete-time systems analysis. 14. Control design in discrete-time domain. Last update: SOUSKOVH (01.02.2018)
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http://moodle.vscht.cz/course/view.php?id=12 http://www.mathworks.com/products/control/ http://www.mathworks.com/matlabcentral/fileexchange/ Last update: Hanta Vladimír (01.07.2013)
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Algorithms and Programming, Mathematics I, Measuring and Control Engineering Last update: Hanta Vladimír (01.07.2013)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1 | 28 | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1.5 | 42 | ||
Práce na individuálním projektu | 0.5 | 14 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
Účast na seminářích | 1 | 28 | ||
5 / 5 | 140 / 140 |
Coursework assessment | |
Form | Significance |
Regular attendance | 15 |
Report from individual projects | 25 |
Oral examination | 10 |