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Identification of Wiener System with Monotonous Nonlinearity
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Institut de Recherche en Informatique et Systèmes Aléatoires, France.
(Inria, France)
2006 (English)In: Proceedings of the 14th IFAC Symposium on System Identification, 2006, 166-171 p.Conference paper (Refereed)
Abstract [en]

A Wiener system is composed of a linear dynamic subsystem followedby a static nonlinearity. It is well known in the literature that the identifcationof the linear subsystem of a Wiener system can be separated from that of theoutput nonlinearity, if the input signal is a Gaussian noise. In order to deal withthe non Gaussian input case, two new algorithms are proposed in this paper fordirect identifcation of the linear subsystem, regardless of any parametrization ofthe output nonlinearity. The essential assumption required in this paper is thestrict monotonousness of the output nonlinearity.

Place, publisher, year, edition, pages
2006. 166-171 p.
Keyword [en]
Identification, Wiener system, Quadratic programming
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-89253DOI: 10.3182/20060329-3-AU-2901.00020ISBN: 978-3-902661-02-9OAI: diva2:607809
14th IFAC Symposium on System Identification, Newcastle, Australia, March, 2006
Available from: 2013-02-25 Created: 2013-02-25 Last updated: 2013-02-25

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Ljung, Lennart
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Automatic ControlThe Institute of Technology
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