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Modelling and Simulation

Type of study Follow-up Master
Language of instruction Czech
Code 654-3002/01
Abbreviation MS
Course title Modelling and Simulation
Credits 5
Coordinating department Department of Industrial Systems Management
Course coordinator Ing. Ondřej Zimný, Ph.D.

Subject syllabus

1. Introduction to systems modelling, forms of description of dynamic system.
2. Basic types of modelling (physical, mathematical, cybernetic.)
3. Classification of models according to different viewpoints.
4. Mathematical modelling, analytical and experimental methods of
identification of mathematical system description.
5. Simulation of systems, creation of system model, block diagrams.
6. Simulation program SIMULINK, creation of simulation models.
7. Introduction to similarity and modelling theory, theorems of similarity.
8. Derivation of general criterion equation by analysis of ratio equations.
9. Derivation of general criterion equation using dimensional analysis.
10. Unconventional modelling - artificial intelligence (fuzzy models,
artificial neural networks, genetic algorithms).
11. Introduction to neural networks, neuron models, neural network.
12. Learning and generalization of neural networks, learning algorithms.
13. Creation of neural networks models in software tools NEUREX, Statistica
Neural Networks, MATLAB Neural Networks Toolbox.

E-learning

Jančíková, Z. Modelling and simulation. Ostrava: VŠB-TU Ostrava, 2015 (https://www.fmmi.vsb.cz/cs/studenti/study-support/index.html)

Literature

JANČÍKOVÁ, Z. Modelling and simulation. Ostrava: VŠB-TU Ostrava, 2015.
RUSSELL, S. J. and P. NORVIG. Artificial intelligence: a modern approach. 3rd ed., Pearson new international ed. Harlow: Pearson, c2014. ISBN 978-1-292-02420-2.

Advised literature

CLOSE, Ch. M., D. K. FREDERICK a Jonathan C. NEWELL. Modeling and analysis of dynamic systems. 3rd ed. New York: Wiley, c2002. ISBN 0-471-39442-4.