Process Control – bachelor (full-time, attendance method), 6. semester
Level of study:
Prerequisites for registration:
Learning outcomes of the course unit:
Students gained fundamental knowledge in the application of optimization in process control. Students learned to formulate the optimal control problem for various problems based on industrial practice, such as optimal control of pasteurization units, chemical reactors or fermenters. Students learned to define the objective function and constraints of the optimization problem. Students learned to implement optimal control problems in the Matlab environment.
Recommended or required reading:
MACIEJOWSKI, J M. Predictive Control with Constraints. Harlow : Prentice Hall, 2002. 331 s. ISBN 0-201-39823-0.
RAWLINGS, J B. – MAYNE, D Q. Model Predictive Control: Theory and design. Madison : Nob Hill Publishing, 2009. 533 s. ISBN 978-0-975-93770-9.
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.