Recursive Identification for Hammerstein Systems with State-space Model

In this paper, the subspace methods for multi-input multi-output (MIMO) Hammerstein systems in state-space form are considered, for the reason that relation of input and output in MIMO case is appropriate to indicate in this form. In open-loop case, a subspace identification method is given for Hamm...

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Published inZi dong hua xue bao Vol. 36; no. 10; pp. 1460 - 1467
Main Authors CHEN, Xi, FANG, Hai-Tao
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2010
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ISSN1874-1029
1874-1029
DOI10.1016/S1874-1029(09)60060-4

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Abstract In this paper, the subspace methods for multi-input multi-output (MIMO) Hammerstein systems in state-space form are considered, for the reason that relation of input and output in MIMO case is appropriate to indicate in this form. In open-loop case, a subspace identification method is given for Hammerstein systems, in which the nonlinear static function can be represented as a linear combination of finite basis functions, and the recursive version of this method is also given. We show that, in mild conditions, the method given in this paper is consistent in some sense. A numerical example is given to show the performance of this method.
AbstractList In this paper, the subspace methods for multi-input multi-output (MIMO) Hammerstein systems in state-space form are considered, for the reason that relation of input and output in MIMO case is appropriate to indicate in this form. In open-loop case, a subspace identification method is given for Hammerstein systems, in which the nonlinear static function can be represented as a linear combination of finite basis functions, and the recursive version of this method is also given. We show that, in mild conditions, the method given in this paper is consistent in some sense. A numerical example is given to show the performance of this method.
Author FANG, Hai-Tao
CHEN, Xi
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Keywords Subspace method
Hammerstein system
multi-input multioutput (MIMO)
stochastic approximation
recursive method
principal component analysis (PCA)
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Snippet In this paper, the subspace methods for multi-input multi-output (MIMO) Hammerstein systems in state-space form are considered, for the reason that relation of...
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SubjectTerms Hammerstein system
multi-input multioutput (MIMO)
principal component analysis (PCA)
recursive method
stochastic approximation
Subspace method
Title Recursive Identification for Hammerstein Systems with State-space Model
URI https://dx.doi.org/10.1016/S1874-1029(09)60060-4
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