14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper WeA1.6

Zhang, Qinghua (INRIA), Iouditski, Anatoli (.Univ. of Grenoble), Ljung, Lennart (Linkoping Univ.)

Identification of Wiener System with Monotonous Nonlinearity

Scheduled for presentation during the Regular Session "Identification of Nonlinear Systems" (WeA1), Wednesday, March 29, 2006, 12:10−12:30, Concert Hall

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Nonlinear System Identification

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 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.