Course unit code:

422O1_4D

Course unit title:

Optimal Control

Mode of delivery, planned learning activities and teaching methods:

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

Credits allocated:

6

Recommended semester:

Riadenie procesov – (full-time, attendance method), 0. semester

Level of study:

3.

Prerequisites for registration:

none

Assesment methods:

individual works

Learning outcomes of the course unit:

Student gets acquainted with introduction to optimal control: principle of variations, Pontryagin's maximum principle, dynamic programming. Relations between these approaches.

Course contents:

1.	Introduction to optimal control (allowance 6/0)
	a. Parametric optimisation b. Functions and cost functions
2.	Standard optimal control problem (allowance 6/0)
	a. Fixed final time and state b. Fixed final time and free state c. Free final time and state
3.	Dynamic programming (allowance 6/0)

Recommended or required reading:

Basic:

• MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 s. ISBN 978-3-540-71969-4.
• KIRK, D. Optimal Control Theory: An Introduction. Englewood Cliffs, New Jersey: Prentice Hall, 1970. 464 s.

Language of instruction:

Slovak

Assessed students in total:

17

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):

M. Fikar (2020/2021 – Winter)

Course supervisor:

prof. Ing. Miroslav Fikar, DrSc.

Last modification:

5. 10. 2019

AIS: 2019/2020   2000/2001   2000/2001