Detail publikačního výsledku

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

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Klíčová slova

Real time communication, Neural networks identification, Adaptive LQ controller, ANSI C

Klíčová slova v angličtině

Real time communication, Neural networks identification, Adaptive LQ controller, ANSI C

Autoři

ŠVANCARA, K., PIVOŇKA, P.

Rok RIV

2011

Vydáno

20.09.2003

Místo

Zittau

ISBN

3-9808089-4-7

Kniha

Third EUSFLAT Proceedings

Edice

Neuveden

Svazek

Neuveden

Strany od

361

Strany počet

6

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",
  booktitle="Third EUSFLAT Proceedings",
  year="2003",
  series="Neuveden",
  volume="Neuveden",
  number="1",
  pages="6",
  address="Zittau",
  isbn="3-9808089-4-7"
}