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

Anglický název

Using Neural Networks For Adaptive Control of Thermal Process

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT11766,
  author="Václav {Veleba} and Petr {Pivoňka}",
  title="Using Neural Networks For Adaptive Control of Thermal Process",
  annote="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.",
  address="DAAAM International Vienna",
  booktitle="Annals of DAAAM for 2004 & Proceedings",
  chapter="11766",
  institution="DAAAM International Vienna",
  year="2004",
  month="november",
  pages="471",
  publisher="DAAAM International Vienna",
  type="conference paper"
}