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VI Brazilian Symposium on Neural Networks (SBRN'00)
On-Line Neo-Fuzzy-Neuron State Observer
Rio de Janeiro, Brazil
January 22-January 25
ISBN: 0-7695-0856-1
ASCII Text
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Régis P. Landim, Benjamim R. de Menezes, Selênio R. Silva, Walmir M. Caminhas, "On-Line Neo-Fuzzy-Neuron State Observer," Neural Networks, Brazilian Symposium on, pp. 196, VI Brazilian Symposium on Neural Networks (SBRN'00), 2000.
 
 
BibTex
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@article{ 10.1109/SBRN.2000.889738,
author = {Régis P. Landim and Benjamim R. de Menezes and Selênio R. Silva and Walmir M. Caminhas},
title = {On-Line Neo-Fuzzy-Neuron State Observer},
journal ={Neural Networks, Brazilian Symposium on},
volume = {0},
year = {2000},
issn = {1522-4899},
pages = {196},
doi = {http://doi.ieeecomputersociety.org/10.1109/SBRN.2000.889738},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, Brazilian Symposium on
TI - On-Line Neo-Fuzzy-Neuron State Observer
SN - 1522-4899
SP
EP
A1 - Régis P. Landim,
A1 - Benjamim R. de Menezes,
A1 - Selênio R. Silva,
A1 - Walmir M. Caminhas,
PY - 2000
VL - 0
JA - Neural Networks, Brazilian Symposium on
ER -
 
A new algorithm for state observation based on a Neo-Fuzzy-Neuron (NFN) with real time training is presented. Some useful theorems are promptly demonstrated and used to aid the design of the observer. Two applications of this state observer are shown: an induction machine rotor flux observer and an induction machine speed observer. Digital simulation and experimental results show the good performance of the observer.
Citation:
Régis P. Landim, Benjamim R. de Menezes, Selênio R. Silva, Walmir M. Caminhas, "On-Line Neo-Fuzzy-Neuron State Observer," sbrn, pp.196, VI Brazilian Symposium on Neural Networks (SBRN'00), 2000
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