Detail publikace

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

ŠVANCARA, K., PIVOŇKA, P.

Originální název

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

Anglický název

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

Jazyk

en

Originální abstrakt

The direct implementation of the control algorithm from the simulation environment to the industrial process controller is the aim of many current papers. The sequence of direct implementation usually consists of three steps: simple simulation experiment, real time communication with the real process and monitoring of the control algorithm after implementation. The direct implementation enables us to describe the quantization effect. The issue of quantization effect disturbance given by A/D and D/A converters is often forgotten. This paper shows the second and the third implementation step where the first one was described in the 10th Zittau Fuzzy Colloquium. The advantage of identification based on neural networks in adaptive LQ controller that overcomes presented problem is introduced below.

Anglický abstrakt

The direct implementation of the control algorithm from the simulation environment to the industrial process controller is the aim of many current papers. The sequence of direct implementation usually consists of three steps: simple simulation experiment, real time communication with the real process and monitoring of the control algorithm after implementation. The direct implementation enables us to describe the quantization effect. The issue of quantization effect disturbance given by A/D and D/A converters is often forgotten. This paper shows the second and the third implementation step where the first one was described in the 10th Zittau Fuzzy Colloquium. The advantage of identification based on neural networks in adaptive LQ controller that overcomes presented problem is introduced below.

Dokumenty

BibTex


@inproceedings{BUT8169,
  author="Kamil {Švancara} and Petr {Pivoňka}",
  title="The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC",
  annote="The direct implementation of the control algorithm from the simulation environment
to the industrial process controller is the
aim of many current papers. The sequence
of direct implementation usually consists
of three steps: simple simulation experiment,
real time communication with the real process and monitoring of the control algorithm
after implementation. The direct implementation enables us to describe the quantization effect. The issue of quantization effect disturbance given by A/D and D/A converters is often forgotten. This paper shows the second and the third implementation step where the first one was
described in the 10th Zittau Fuzzy Colloquium.
The advantage of identification based on neural networks in adaptive LQ controller that overcomes presented problem is introduced below.
",
  booktitle="Third EUSFLAT Proceedings",
  chapter="8169",
  edition="Neuveden",
  year="2003",
  month="september",
  pages="361",
  type="conference paper"
}