SubjectsSubjects(version: 949)
Course, academic year 2021/2022
Control Theory - N445017
Title: Teorie řízení
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2019
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Is provided by: M445003
For type:  
Additional information:
Guarantor: Soušková Hana Ing. Ph.D.
Interchangeability : S445017
Is interchangeable with: S445017, M445003, AM445003
Examination dates   Schedule   
Annotation -
Last update: Hanta Vladimír Ing. CSc. (01.07.2013)
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.
Aim of the course -
Last update: Hanta Vladimír Ing. CSc. (01.07.2013)

Students will be able to:

  • solve basic computational and visualization tasks in the area of automatic control system in the environment of Matlab and its Control System Toolbox
  • investigate properties of t-invariant linear dynamical systems and determine their stability
  • design controller parameters using empirical and integral methods, design state controller and discrete controller with a finite number of steps
  • validate theoretical conclusions by simulation and analysis of time resposes of the system and by their visualization
  • carry out synthesis of simple control loop and improve its dynamic performance using simulation experiments
Literature -
Last update: Soušková Hana Ing. Ph.D. (01.02.2018)

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.

Learning resources -
Last update: Hanta Vladimír Ing. CSc. (01.07.2013)

Teaching methods - Czech
Last update: Hanta Vladimír Ing. CSc. (26.06.2013)

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

Syllabus -
Last update: Soušková Hana Ing. Ph.D. (01.02.2018)

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.

Registration requirements -
Last update: Hanta Vladimír Ing. CSc. (01.07.2013)

Algorithms and Programming, Mathematics I, Measuring and Control Engineering

Course completion requirements -
Last update: Soušková Hana Ing. Ph.D. (01.02.2018)

Assessment: Three individual projects

Exam: Written test I: 0-20 points

Written test II: 0-60 points

Oral exam: 0-20 points

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