Identification of Hammerstein-Wiener Systems using Subspace Method and Separable Least-Squares
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- Ase Hajime
- Mathematical Technology Institute
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- Katayama Tohru
- Ritsumeikan University
Description
We deal with identification of Hammerstein-Wiener systems, or NLN systems, in which a linear subsystem is sandwiched by two nonlinearities. First we identify an approximate linear state space model of the NLN system by using the ORT (orthogonal projection) subspace method or PO-MOESP method. Then, initialized by the estimated state space model, we optimize the output error (OE) model, which is derived based on the basis functions expansion of nonlinearities, by using a gradient-based optimization method. Numerical results are included to show the applicability of the present approach.
Journal
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- Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2017 (0), 40-47, 2017-05-31
The ISCIE Symposium on Stochastic Systems Theory and Its Applications
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Keywords
Details 詳細情報について
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- CRID
- 1390282680740973568
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- NII Article ID
- 130006192929
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- ISSN
- 21884749
- 21884730
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed