Course unit code:

N400P7_4D

Course unit title:

Advanced Predictive Control

Mode of delivery, planned learning activities and teaching methods:

lecture – 2 hours weekly (on-site method)
seminar – 3 hours weekly (on-site method)

Credits allocated:

6

Recommended semester:

Riadenie procesov – (full-time, attendance method), 1. semester
Riadenie procesov – (full-time, attendance method), 2. semester

Level of study:

3.

Prerequisites for registration:

none

Assesment methods:

Regular attendance of laboratory practice.

Learning outcomes of the course unit:

Students will be able to formulate predictive control problems with different types of cost functions (control to origin, off-set free reference tracking, minimum time) and various types of predictive models (linear, non-linear, hybrid). Students will be able to solve the formulated tasks numerically and to implement numerical solutions on commonly used types of hardware devices.

Course contents:

Predictive control based on linear models a control into origin, reference tracking, off-set free control, non-linear predictive control, hybrid predictive control, parametric optimization, hardware implementation of predictive control.

Recommended or required reading:

Basic:

• MACIEJOWSKI, J M. Predictive Control with Constraints. Harlow : Prentice Hall, 2002. 331 s. ISBN 0-201-39823-0.

Language of instruction:

Slovak

Assessed students in total:

7

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Course supervisor:

prof. Ing. Michal Kvasnica, PhD.

Last modification:

5. 10. 2019

AIS: 2019/2020   2000/2001   2000/2001   2000/2001