Presentation 2009-03-10
Identification of Wiener-type Multi-Input/Output Nonlinear Systems
Yuzuru SHIOTANI, Yasuhide KOBAYASHI, Shinichi HIKITA, Mituyuki SAITO, Takahiko ONO,
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Abstract(in English) A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The multiple-input multiple-output (MIMO) Wiener model appears frequently in many nonlinear systems. Therefore, it is proposed that the identification method of the MIMO Wiener model with two or more linear dynamic subsystems, whose outputs are transformed by multiple-input static nonlinearities. The linear dynamic subsystems are represented by the MIMO state-space representation. The MIMO static nonlinearities are expressed by the artificial neural networks which have the ability to learn the complex nonlinear relationships. The parameters of linear submodels and the connection coefficients of the artificial neural networks are estimated by the maximum likelihood method.
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Keyword(in English) Wiener model / multi-input multi-output / neural networks / identification / modelling
Paper # NLP2008-159
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Conference Information
Committee NLP
Conference Date 2009/3/3(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identification of Wiener-type Multi-Input/Output Nonlinear Systems
Sub Title (in English)
Keyword(1) Wiener model
Keyword(2) multi-input multi-output
Keyword(3) neural networks
Keyword(4) identification
Keyword(5) modelling
1st Author's Name Yuzuru SHIOTANI
1st Author's Affiliation Graduate School of Information Sciences, Hiroshima City-University()
2nd Author's Name Yasuhide KOBAYASHI
2nd Author's Affiliation Graduate School of Information Sciences, Hiroshima City-University
3rd Author's Name Shinichi HIKITA
3rd Author's Affiliation Graduate School of Information Sciences, Hiroshima City-University
4th Author's Name Mituyuki SAITO
4th Author's Affiliation Graduate School of Information Sciences, Hiroshima City-University
5th Author's Name Takahiko ONO
5th Author's Affiliation Graduate School of Information Sciences, Hiroshima City-University
Date 2009-03-10
Paper # NLP2008-159
Volume (vol) vol.108
Number (no) 477
Page pp.pp.-
#Pages 6
Date of Issue