Publication detail

The Semi-Inversion Controller

PIVOŇKA, P., KRUPANSKÝ, P., VELEBA, V., DOHNAL, J.

Original Title

The Semi-Inversion Controller

English Title

The Semi-Inversion Controller

Type

conference paper

Language

en

Original Abstract

When the basic approaches to control using neural networks had been studied, a new control algorithm - Semi-inversion controller was designed. Due to the high degree of freedom of neural networks in the form of circuits with a universal neural model, the adaptation behavior of the control circuit is difficult to control. The principles based on inversion control result in high control action. The semi-inversion controller was designed to tackle these problems, to exploit the high adaptability of neural networks and make use of inversion control principles.

English abstract

When the basic approaches to control using neural networks had been studied, a new control algorithm - Semi-inversion controller was designed. Due to the high degree of freedom of neural networks in the form of circuits with a universal neural model, the adaptation behavior of the control circuit is difficult to control. The principles based on inversion control result in high control action. The semi-inversion controller was designed to tackle these problems, to exploit the high adaptability of neural networks and make use of inversion control principles.

Keywords

Neural networks, Inversion neural controller, Semi-inversion neural controller, Adaptive control, Sampling period.

RIV year

2005

Released

26.09.2005

Publisher

FME Zenica, Bosna a Hercegovina

Location

Antalya

ISBN

9958-617-28-5

Book

TMT 2005

Pages from

631

Pages to

634

Pages count

4

BibTex


@inproceedings{BUT15249,
  author="Petr {Pivoňka} and Petr {Krupanský} and Václav {Veleba} and Jiří {Dohnal}",
  title="The Semi-Inversion Controller",
  annote="When the basic approaches to control using neural networks had been studied, a new control algorithm - Semi-inversion controller was designed. Due to the high degree of freedom of neural networks in the form of circuits with a universal neural model, the adaptation behavior of the control circuit is difficult to control. The principles based on inversion control result in high control action. The semi-inversion controller was designed to tackle these problems, to exploit the high adaptability of neural networks and make use of inversion control principles.",
  address="FME Zenica, Bosna a Hercegovina",
  booktitle="TMT 2005",
  chapter="15249",
  institution="FME Zenica, Bosna a Hercegovina",
  year="2005",
  month="september",
  pages="631",
  publisher="FME Zenica, Bosna a Hercegovina",
  type="conference paper"
}