Detail publikace

Simple Neural Network-Based Adaptive Controller for Heating System

PIVOŇKA, P., VELEBA, V.

Originální název

Simple Neural Network-Based Adaptive Controller for Heating System

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The algorithm for the semi-inversion controller has been designed for adaptive control based on neural networks. This controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The algorithm deals with extreme inversion controlling actions occurring in inversion control. We used the semi-inversion controller for control a real system – laboratory hot-air system model. The efficient of control algorithm we demonstrate by control MIMO system with two parameters – the airflow and the temperature inside the tunnel. The hot-air system displays negative effects commonly occurring in industrial applications – different static amplifications at different operating points, large offset increasing with time, dead zone and noise.

Klíčová slova

Adaptive Control, Neural Networks, Simple Neural Controller

Autoři

PIVOŇKA, P., VELEBA, V.

Rok RIV

2004

Vydáno

8. 9. 2004

Nakladatel

Rektor der Hochschule Zitttau/Görlitz

Místo

Zittau, Germany

ISBN

3-9808089-5-5

Kniha

Proceedings East West Fuzzy Colloquium 2004

Strany od

163

Strany do

168

Strany počet

6

BibTex

@inproceedings{BUT11409,
  author="Petr {Pivoňka} and Václav {Veleba}",
  title="Simple Neural Network-Based Adaptive Controller for Heating System",
  booktitle="Proceedings East West Fuzzy Colloquium 2004",
  year="2004",
  pages="6",
  publisher="Rektor der Hochschule Zitttau/Görlitz",
  address="Zittau, Germany",
  isbn="3-9808089-5-5"
}