Mastering theoretical and practical basics of system modeling and simulation.

- Matlab, toolboxes, - role of modelling and simulation and their practical applications, - principles of dynamical systems modelling, - understanding methods and techniques for dinamic models analysis and syntheses, - ability to describe systems by differential equations, - ability to perform model simulation, - acquired knowledge about methods for identification of unknown model parameters. Acquired knowledge can be used in solving specific engineering problems, and also present a basis for further understanding of professional courses.

Place and role of modelling and simulation, practical applications. Theory of modelling and simulation, basic principles and mathematical modelling tools. Mathematical models of time continuous and discrete systems. Examples of model forming: mechanical, thermal, hydrodynamic, electrical and electro-mechanical systems. Analogies between size and parameters. Electromechanical analogies. Model linearization. Simulation languages. Simulation on digital computer (Matlab/Simulink). System identification. Parameter identification.

Lectures. Computer practice. Consultations.