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.
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.