DocumentCode
3466263
Title
An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace
Author
Luzar, Marcel ; Mrugalski, Marcin ; Witczak, Marcin ; Korbicz, Jozef
Author_Institution
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gora, Poland
fYear
2011
fDate
22-25 Aug. 2011
Firstpage
204
Lastpage
209
Abstract
This paper presents an identification method of dynamic systems based on the Group Method of Data Handing. In particular, a new structure of the dynamic neuron in pole representation is proposed. Moreover, a new training algorithm based on the Unscented Kalman Filter is presented. The final part of this work contains an illustrative example regarding the application of the proposed approach to an identification of the tunnel furnace.
Keywords
Kalman filters; data handling; neural nets; GMDH neural network; dynamic system; group method of data handling; identification method; pole representation; training algorithm; tunnel furnace; unscented Kalman filter; Biological neural networks; Furnaces; Kalman filters; Neurons; Parameter estimation; Temperature sensors; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on
Conference_Location
Miedzyzdroje
Print_ISBN
978-1-4577-0912-8
Type
conf
DOI
10.1109/MMAR.2011.6031345
Filename
6031345
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