Detail publikace

Artificial Neural Networks for On-Line Trained Controllers

PIVOŇKA, P.

Originální název

Artificial Neural Networks for On-Line Trained Controllers

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

This paper deals with the use of artificial neural networks employed as an on-line trained controller for a real process and simulation model control. Well-known back-propagation method is used as a learning algorithm intended to minimize the difference between the plant’s actual response and the desired reference signal. The influence of neural network’s parameters on a controlled plant output is discussed. We also attempted to find the rules of these parameters adjustment in view of the type of a transfer function in Laplace transform and tested the robustness of our controller burdened with the error signal. Some simulation and real process control results are also presented to evaluate the proposed design. Discussed in the last chapter are the possibilities of creating an adaptive neural controller.

Klíčová slova

back-propagation, artificial neural nets, neural controller, adaptive neural controller

Autoři

PIVOŇKA, P.

Rok RIV

2001

Vydáno

7. 7. 2001

Nakladatel

Published by WSES Press, http://www.worldses.org

Místo

http://www.worldses.org

ISBN

960-8052-39-4

Kniha

Advances in Systems Science: Measurement, Circuits and Control

Edice

Electrical and Computer Engineering Series - A series of Reference Books and Textbooks

Číslo edice

1

Strany od

189

Strany do

194

Strany počet

6

BibTex

@inbook{BUT55021,
  author="Petr {Pivoňka}",
  title="Artificial Neural Networks for On-Line Trained Controllers",
  booktitle="Advances in Systems Science: Measurement, Circuits and Control",
  year="2001",
  publisher="Published by WSES Press, http://www.worldses.org",
  address="http://www.worldses.org",
  series="Electrical and Computer Engineering Series -
A series of Reference Books and Textbooks",
  edition="1",
  pages="6",
  isbn="960-8052-39-4"
}