Subject description - BE5B35ARI

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BE5B35ARI Automatic Control Extent of teaching:4P+2L
Guarantors:Hromčík M. Roles:PV Language of
Teachers:Hromčík M. Completion:Z,ZK
Responsible Department:13135 Credits:7 Semester:L


Foundation course of automatic control. Introduction to basic concepts and properties of dynamic systems of physical, engineering, biological, economics, robotics and informatics nature. Basic principles of feedback and its use as a tool for altering the behavior of systems and managing uncertainty. Classical and modern methods for analysis and design of automatic control systems. Students specialized in systems and control will build on these ideas and knowledge in the advanced courses to follow. Students of other branches and programs will find out that control is a inspiring, ubiquitous and entertaining field worth of a future cooperation.

Course outlines:

1. Introduction
2. System Modeling
3. Dynamic Behavior
4. System Properties
5. Stability
6. Feedback
7. Root Locus
8. Frequency domain methods
9. State space methods
10. Polynomial methods
11. Digital Control
12. Robust Control
13. Nonlinear Systems
14. More Complex systems

Exercises outline:

1. Safety and other rules, Introduction to lab experiments
2. Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization
4. Systems, models, identification, analysis
5. Lab assignment - Identification
6. Lab assignment - Identification and analysis
7. Practical controller design
8. Lab assignment - Control design
9. Lab assignment - Control design
10. Presentation of the lab assignment result
11. Discrete-time systems and models
12. Simulation assignment
13. Presentation of the simulation assignment result
14. Practical test: Analysis and design


1. Richard C Dorf, Robert H. Bishop: Modern Control Systems. Prentice Hall;
11 edition, 2007. ISBN: 0132270285
2. J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3. Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
4. Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:
5. Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice
Hall 3 ed. 1996. ISBN-10: 0133148998


Linear algebra fundamentals (vector spaces, matrix algebra, linear mappings, coordinates transformation, eigenvalues and eigenvctors, Jordan canonical form). Calculus fundamentals (derivatives, integrals, sets of linear ordinary differential equations). Integral transforms (Laplace transform, Fourier transform, Z-transform).Familiarity with Matlab (code-writing, data structures and classes, simulation of dynamical systems in Simulink).


Subject is included into these academic programs:

Program Branch Role Recommended semester
BEECS Common courses PV 4

Page updated 18.6.2018 17:49:04, semester: Z,L/2020-1, L/2019-20, L/2018-9, Z,L/2017-8, Z/2018-9, Z/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)