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

Department:
Department of Information Engineering and Process Control

AIS: 2019/2020   2000/2001   2000/2001  

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