DocumentCode
1858328
Title
A pole estimation approach to the synthesis of the dynamic GMDH neural networks
Author
Mrugalski, Marcin ; Witczak, Marcin ; Korbicz, Józef
Author_Institution
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Góra, Poland
fYear
2010
fDate
6-8 Oct. 2010
Firstpage
323
Lastpage
328
Abstract
This paper presents an identification method of Multi-Input Multi-Output (MIMO) dynamic systems based on the Group Method of Data Handing. In particular, a new structure of the dynamic neuron is proposed. The synthesis of the neural model is performed with the application of the pole estimation approach. The final part of this work contains an illustrative example regarding the application of the proposed approach to a fault detection of the tunnel furnace.
Keywords
MIMO systems; control system synthesis; estimation theory; fault diagnosis; identification; neurocontrollers; pole assignment; MIMO dynamic systems; dynamic GMDH neural networks; dynamic neuron; fault detection; group method of data handling; identification method; multi-input multi-output dynamic systems; neural model synthesis; pole estimation approach; tunnel furnace; Approximation algorithms; Artificial neural networks; Furnaces; MIMO; Mathematical model; Neurons; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Fault-Tolerant Systems (SysTol), 2010 Conference on
Conference_Location
Nice
Print_ISBN
978-1-4244-8153-8
Type
conf
DOI
10.1109/SYSTOL.2010.5675987
Filename
5675987
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