Control systems in industry

Control systems in industry
654-3025/01
čeština

Summary

The subject deals with the problems of industrial systems management focused on communication standards and programmable automata in industry, application of artificial intelligence methods in industrial conditions. Attention is also paid to computer support for determining the reliability of industrial systems using industrial diagnostic tools. Continuous sensing of technological variables and the conclusion of digital image processing are also discussed.

Literature

WALTER J. G. and T. L. VINCENT. Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9.
TATJEWSKI, P. Advanced Control of Industrial Processes: Structures and Algorithms. New York: Springer Science & Business Media, 2007. .
ZHANG, P. Advanced Industrial Control Technology. New York: William Andrew, 2010. .

Advised literature

FORTUNA, L. et. al. Soft Sensors for Monitoring and Control of Industrial Processes. New York: Springer Science & Business Media, 2007. .
GRIMBLE, M. J. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems. New York: John Wiley & Sons, 2006. .
CAMACHO, E. F. and C. B. ALBA. Model Predictive Control. New York: Springer Science & Business Media, 2013. .
LIU, T. and F. GAO. Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods. New York: Springer Science & Business Media, 2011. .

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Language of instruction	čeština
Code	654-3025
Abbreviation	SŘP
Course title	Control systems in industry
Coordinating department	Department of Industrial Systems Management
Course coordinator	prof. Ing. Petr Besta, Ph.D.