Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity

M. Schoukens; K. Tiels; M. Ishteva; J. Schoukens

doi:10.3182/20140824-6-ZA-1003.00496

Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity

M. Schoukens, K. Tiels, M. Ishteva, J. Schoukens

Research output: Contribution to journal › Conference article › Academic › peer-review

12 Citations (Scopus)

Abstract

Block-oriented models are often used to model a nonlinear system. This paper presents an identification method for parallel Wiener-Hammerstein systems, where the obtained model has a decoupled static nonlinear block. This decoupled nature makes the interpretation of the obtained model more easy. First a coupled parallel Wiener-Hammerstein model is estimated. Next, the static nonlinearity is decoupled using a tensor decomposition approach. Finally, the method is validated on real-world measurements using a custom built parallel Wiener-Hammerstein test system.

Original language	English
Pages (from-to)	505-510
Number of pages	6
Journal	IFAC Proceedings Volumes
Volume	47
Issue number	3
DOIs	https://doi.org/10.3182/20140824-6-ZA-1003.00496
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	19th IFAC World Congress on International Federation of Automatic Control ( IFAC 2014) - Cape Town International Convention Centre, Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 Conference number: 19 http://www.ifac2014.org

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AU - Tiels, K.

AU - Ishteva, M.

AU - Schoukens, J.

N1 - Conference code: 19

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AB - Block-oriented models are often used to model a nonlinear system. This paper presents an identification method for parallel Wiener-Hammerstein systems, where the obtained model has a decoupled static nonlinear block. This decoupled nature makes the interpretation of the obtained model more easy. First a coupled parallel Wiener-Hammerstein model is estimated. Next, the static nonlinearity is decoupled using a tensor decomposition approach. Finally, the method is validated on real-world measurements using a custom built parallel Wiener-Hammerstein test system.

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