Modelling of industrial processes

Modelling of industrial processes
654-0929/02
angličtina Modelling of industrial processes
654-0929/01
čeština

Summary

The course deals with physical and mathematical modelling of industrial processes. Students are acquainted with analytical and experimental methods of identification of the mathematical description of the dynamic system and with methods necessary for implementation of the model on a digital computer. Students are introduced to artificial intelligence (fuzzy models, expert models, models of neural networks, genetic algorithms), attention is paid mainly to the models of neural networks and their application to the selected industrial processes.

Literature

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.
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.
SAMARASINGHE, S. Neural networks for applied sciences and engineering: from fundamentals to complex pattern recognition. Boca Raton: Auerbach Publications, c2007. ISBN 978-0-8493-3375-0.

Advised literature

NOSKIEVIČ, P. Modelling and simulation of mechatronic systems using MATLAB Simulink. Ed. 1st. Ostrava: VŠB - Technical University of Ostrava, 2013. ISBN 978-80-248-3150-3.
JANČÍKOVÁ, Z. Modelling and simulation. Ostrava: VŠB-TU Ostrava, 2015.

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Language of instruction	angličtina, čeština
Code	654-0929
Abbreviation	MPP
Course title	Modelling of industrial processes
Coordinating department	Department of Industrial Systems Management
Course coordinator	doc. Ing. Milan Heger, CSc.