In this course, students got to know the basics of systems science and dynamic systems theory. They are able to distinguish properties of dynamic systems, to choose appropriate methods of mathematical representation of dynamic systems and to analyse dynamic systems. Students were introduced to applications of dynamic systems theory and to basic concepts of dynamic systems control.
Prerequisites for registration:
passed Mathematics I (N424M3_4B)
The course is divided into three main parts. The first part is devoted to the introduction to systems science, the definition of basic concepts, and the mathematical representation of dynamical systems. The second part deals with the properties of dynamical systems that determine their behavior. The last part presents applications of dynamic systems in technical practice and introduces the concept of control of dynamic systems.
1. Definition of a system. Definition of a dynamic system. Definition of a static system. Definitions of inputs, outputs and states of a dynamic system.
2. Mathematical representation of dynamic systems. Types of mathematical models of dynamic systems.
3. State space. Order of a dynamic system.
4. Applications of mathematical representation of dynamic systems.
5. Basic definitions from control of dynamic systems.
6. Linearity, autonomy, causality and time invariance of dynamic systems.
7. Equilibrium state of a dynamic system.
8. Stability of equilibrium state of a dynamic system.
9. Behaviour of a system in the neighbourhood of an equilibrium state.
10. Stability of a dynamic system.
11. Applications of dynamic system properties for monitoring and control of systems.
12. Applications of control of dynamic systems.
Recommended or required reading:
GMITERKO, A. – ŠARGA, P. – HRONCOVÁ, D.: Teória dynamických systémov. Košice, SjF TU, 2010. 301 s. ISBN 978-80-553-0603-2.
LUENBERGER, D.G.: Introduction to Dynamic Systems: Theory, Models, and Applications, Wiley, New York, 1979. 460 s. ISBN 978-0-471-02594-8
Planned learning activities and teaching methods:
lectures 26 h
exercises 26 h
preparation for lectures and exercises (study of literature, calculations) 20 h
preparation for exams (during the semester, final) 30 h
Assesment methods and criteria:
Evaluation is based in 50% on the work during the semester and in 50% on the outcome of the oral examination. The final grade is given by the Study rules of the STU. To obtain credits for the subject, the student has to reach at least 56% of the maximum number of points.
Language of instruction:
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.