Detail publikace

Using Neural Networks For Adaptive Control of Thermal Process

VELEBA, V., PIVOŇKA, P.

Originální název

Using Neural Networks For Adaptive Control of Thermal Process

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The semi-inversion controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The semi-inversion controller was designed to get to grips with extreme control action occurring in an inversion control, to exploit the high adaptability of neural networks and make use of inversion control principles. 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.

Klíčová slova

adaptive control, semi-inversion controller, hot-air tunnel, MIMO system, neural networks

Autoři

VELEBA, V., PIVOŇKA, P.

Rok RIV

2004

Vydáno

3. 11. 2004

Nakladatel

DAAAM International Vienna

Místo

Vienna, Austria

ISBN

3-901509-42-9

Kniha

Annals of DAAAM for 2004 & Proceedings

Strany od

471

Strany do

472

Strany počet

2

BibTex

@inproceedings{BUT11766,
  author="Václav {Veleba} and Petr {Pivoňka}",
  title="Using Neural Networks For Adaptive Control of Thermal Process",
  booktitle="Annals of DAAAM for 2004 & Proceedings",
  year="2004",
  pages="2",
  publisher="DAAAM International Vienna",
  address="Vienna, Austria",
  isbn="3-901509-42-9"
}