Course unit code:

N400V16_4D

Course unit title:

Selected Topics in Intelligent 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:

self work

Learning outcomes of the course unit:

Students get acquainted with advanced principles and methods of modelling and control of systems using artificial neural networks and stochastic methods of optimal control.

Course contents:

Theory of artificial neural networks
Neuro-fuzzy systems
Genetic algorithms
Simulated annealing
Monte Carlo simulations

Recommended or required reading:

Basic:

• MAN, K. – TANG, K. – KWONG, S. Genetic Algorithms: Concepts and Designs. London : Springer Verlag, 1999. 344 s. ISBN 1-85233-072-4.
• WINTER, G. Genetic Algorithms in Engineering and Computer Science. Chichester : John Wiley & Sons, 1995. 464 s. ISBN 0-471-95859-X.
• KVASNIČKA, V. – BEŇUŠKOVÁ, Ľ. – POSPÍCHAL, J. – FARKAŠ, I. – TIŇO, P. – KRÁĽ, A. Úvod do teórie neurónových sietí. Bratislava : IRIS-Knižní klub, 1997. 285 strany. ISBN 80-88778-30-1.

Language of instruction:

Slovak

Assessed students in total:

9

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):

M. Klaučo (2023/2024 – Winter)

Course supervisor:

prof. Ing. Miroslav Fikar, DrSc.

Last modification:

5. 10. 2019

AIS: 2019/2020   2000/2001   2000/2001