Detail publikace

Neural Controllers in Real Process Control

Originální název

Neural Controllers in Real Process Control

Anglický název

Neural Controllers in Real Process Control

Jazyk

en

Originální abstrakt

This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.

Anglický abstrakt

This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.

BibTex 


@inbook{BUT52845,
  author="Petr {Pivoňka} and Jan {Žižka}",
  title="Neural Controllers in Real Process Control",
  annote="This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.",
  address="Scitec Publications Ltd, Zuerich-Uetikon",
  booktitle="Scitec Publications",
  chapter="52845",
  institution="Scitec Publications Ltd, Zuerich-Uetikon",
  journal="ISSN 1420-410X Advanced Manufacturing Forum",
  number="1",
  year="1995",
  month="january",
  pages="255",
  publisher="Scitec Publications Ltd, Zuerich-Uetikon",
  type="book chapter"
}