Publication detail

Using Neural Networks For Adaptive Control of Thermal Process

VELEBA, V., PIVOŇKA, P.

Original Title

Using Neural Networks For Adaptive Control of Thermal Process

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

VELEBA, V., PIVOŇKA, P.

RIV year

2004

Released

3. 11. 2004

Publisher

DAAAM International Vienna

Location

Vienna, Austria

ISBN

3-901509-42-9

Book

Annals of DAAAM for 2004 & Proceedings

Pages from

471

Pages to

472

Pages count

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"
}