Identification of Wiener system with monotonous nonlinearity

Abstract : A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is well known in the literature that the identification of the linear subsystem of a Wiener system can be separated from that of the output nonlinearity, if the input signal is a Gaussian noise. In order to deal with the non Gaussian input case, two new algorithms are proposed in this paper for direct identification of the linear subsystem, regardless of any parametrization of the output nonlinearity. The essential assumption required in this paper is the strict monotonousness of the output nonlinearity.
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Communication dans un congrès
Brett Ninness and Håkan Hjalmarsson. 14th IFAC Symposium on System Identification (SYSID), Mar 2006, Newcastle, Australia. IFAC, 14 - Part 1, pp.166-171, 2006, 〈10.3182/20060329-3-AU-2901.00020〉
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https://hal.inria.fr/hal-00854858
Contributeur : Qinghua Zhang <>
Soumis le : mercredi 28 août 2013 - 11:41:27
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Qinghua Zhang, Anatoli Iouditski, Lennart Ljung. Identification of Wiener system with monotonous nonlinearity. Brett Ninness and Håkan Hjalmarsson. 14th IFAC Symposium on System Identification (SYSID), Mar 2006, Newcastle, Australia. IFAC, 14 - Part 1, pp.166-171, 2006, 〈10.3182/20060329-3-AU-2901.00020〉. 〈hal-00854858〉

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