Course aims:

Using methods of modeling, simulation, identification and analysis processes, computer aided design techniques.
Application development and implementation of algorithms and management structures automatic electronic systems modeling.
Work with mathematical fundamentals, engineering: - use of theories to explain the structures and specific tools and mainframe systems - theoretical substantiation features designed systems

Course Entry Requirements:

N/A

Course contents:

1. Elements of applied mathematics in systems theory. Basic elements of operational calculation, Fourier transformation. 2. Systems Theory and Automatic Control 3. Systems of linear time invariant smooth with an input and an output. Representation of a linear system. Representation by differential equations 4. Mathematical modeling. Transfer functions 5. Analysis of linear systems. Stationary errors. Systems of higher order than 2 6. Stability of continuous linear systems 7. Stability in frequency domain. 8. Sampling Systems 9. Numerical control systems

Teaching methods:

Lecture, discussion, exemplification.

Learning outcomes:

In order to obtain credits for this discipline, the students have to: - Use applications fundamental concepts of analysis and synthesis of linear systems - Use some methods of designing control systems - development of software

Learning outcomes verification and assessment criteria:

Final evaluation – 50%; Laboratory activities – 50%.

Recommended reading:

K. Ogata, Modern Control Engineering, Prentice Hall, 1990,
Dorf, R.C., Bishop, R.H., Modern Control Systems, Prentice Hall, 2004,
Ke Chen, P. Giblin, A. Irving, Mathematical Explorations with MATLAB, Cambridge, 1999,