Methods and Algorithms for Advanced Process Control
- MAAPC -

Content

The main goal of this course is to provide an overview of the most important control methods currently in use. After an elaborated introduction on classical control technology, the course focuses on controlling systems described by state-space models. The students are taught the principles of model-based predictive control, as well as techniques for state estimation. The advantages and disadvantages of the different techniques are presented to give the students a view of which technique is the most appropriate for a given control problem. At the end of the course the students will be able to address complex multivariable control problems by using state-space feedback techniques and model predictive control strategies.

Lecturers: Dr. Ir. Oscar Mauricio Agudelo and Prof. Dr. Ir. Bart De Moor.

For more information, please check the page of the Course "Computergestuurde regeltechniek [H03E8a]" in Toledo.

Exercise Sessions and Practicum


Exercise Session 1: Analysis of a MIMO system Exercise Session 2: Introduction to LQG LQG Design: Quadcopter Practicum

Virtual Control Labs