Detail publikace

Advantages of Identification Based on Neural Network Approach

Václav Veleba

Originální název

Advantages of Identification Based on Neural Network Approach

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The parameters estimation of the dynamic plant with great ratio of its time constant to sampling periods is considered. It is shown, that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. Considering this results, we apply neural network as on-line estimator in an adaptive controller. Simple heuristic synthesis based on modified Z-N 1 method are discussed, that gives numerically stable parameters of the PID discrete controller.

Klíčová slova v angličtině

Rapid Sampling, Quantization, Neural Network, Training Set, Levenberg-Marquardt Minimization, Discrete PID Controller, RLS Identification Method

Autoři

Václav Veleba

Rok RIV

2005

Vydáno

1. 1. 2005

Nakladatel

Ing. Zdeněk Novotný Csc., Ondráčkova 105, Brno

Strany od

76

Strany do

80

Strany počet

5

BibTex

@inproceedings{BUT14547,
  author="Václav {Veleba}",
  title="Advantages of Identification Based on Neural Network Approach",
  booktitle="Advantages of Identification Based on Neural Network Approach",
  year="2005",
  number="1",
  pages="5",
  publisher="Ing. Zdeněk Novotný Csc., Ondráčkova 105, Brno"
}