Skip to main content
Skip header

Control of Metallurgical Processes

Summary

Methods of systems identification, computer models creation, simulation and
synthesis of regulation circuits, optimal and adaptive control in metallurgy,
methods of control algorithms creation. Operational control of production,
application of given methods in automation and modeling of selected
industrial processes.

Literature

GROOVER, M. P. Automation, Production Systems, and Computer-Integrated Manufacturing. Pearson, 2013. ISBN: 978-0132393218 .
NISE, N. S. Control Systems Engineering. New Jersey: Wiley; 2015. ISBN: 978-1118170519 .
WILSON, M. Implementation of Robot Systems: An introduction to robotics, automation, and successful systems integration in manufacturing. Berlin: Butterworth-Heinemann, 2014. ISBN: 978-0124047334 .
FRANKLIN, G.F.,‎ J. D. POWELL a A. EMAMI-NAEINI. Feedback Control of Dynamic Systems. London: Pearson, 2014. ISBN: 978-0133496598 .
SEBORG, D. E., T. F. EDGAR,‎ D. A. MELLICHAMP a‎ F. J. DOYLE. Process Dynamics and Control. New Jersey: Wiley, 2016. ISBN: 978-1119385561 .

Advised literature

MEHTA, B. R. a Y. J. REDDY. Industrial Process Automation Systems: Design and Implementation. Butterworth-Heinemann Ltd, 2014.
DE SILVA, C. W. Modeling and Control of Engineering Systems. CRC Press 2009.
DORF, R. F. a‎ R. H. BISHOP. Modern Control Systems. London:Pearson; 2010. ISBN: 978-0136024583 .
ROSS, L. T.,‎ S. W. FARDO a‎ M. F. WALACH. Industrial Robotics Fundamentals: Theory and Applications. Tinley Park: Goodheart-Willcox, 2017. ISBN: 978-1631269417 


Language of instruction čeština, čeština, čeština, angličtina
Code 638-0910
Abbreviation ŘMP
Course title Control of Metallurgical Processes
Coordinating department Department of Automation and Computing in Industry
Course coordinator doc. Ing. Jiří David, Ph.D.