Automatic Control
Code  Completion  Credits  Range  Language 

BE5B35ARI  Z,ZK  7  4P+2L 
 Lecturer:
 Martin Hromčík (guarantor)
 Tutor:
 Martin Hromčík (guarantor), Daniel Robert Wagner
 Supervisor:
 Department of Control Engineering
 Synopsis:

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.
 Requirements:

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, Ztransform).Familiarity with Matlab (codewriting, data structures and classes, simulation of dynamical systems in Simulink).
 Syllabus of lectures:

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
 Syllabus of tutorials:

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.Discretetime systems and models
12.Simulation assignment
13.Presentation of the simulation assignment result
14.Practical test: Analysis and design
.
 Study Objective:
 Study materials:

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 EmamiNaeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
ISBN10:0471794759
4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN10:
1556179421
5.Karl J. Aström, Bjorn Wittenmark: ComputerControlled Systems. Prentice
Hall 3 ed. 1996. ISBN10: 0133148998
 Note:
 Further information:
 https://moodle.dce.fel.cvut.cz/course/view.php?id=62
 Timetable for winter semester 2017/2018:
 Timetable is not available yet
 Timetable for summer semester 2017/2018:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Fri Thu Fri  The course is a part of the following study plans:

 Electrical Engineering and Computer Science (EECS) (compulsory elective course)