Process Control – bachelor (full-time, attendance method), 6. semester
Level of study:
1.
Prerequisites for registration:
none
Assesment methods:
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.
Course contents:
Recommended or required reading:
Recommended:
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.