Identification of Wiener Systems with Monotonous Nonlinearity
2007 (English)Report (Other academic)
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 Gaussian distributed. 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.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2007. , 9 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2787
identication, Wiener system, quadratic programming
IdentifiersURN: urn:nbn:se:liu:diva-56053ISRN: LiTH-ISY-R-2787OAI: oai:DiVA.org:liu-56053DiVA: diva2:316887