@inproceedings{8e41e1aa83a04d3788318a949e471461,
title = "Implementation issues for a nonlinear version of the Hansen scheme",
abstract = "We propose a method for the identification of a nonlinear plant under possibly nonlinear feedback. This procedure is a nonlinear extension of a method known as the Hansen scheme in the literature. It is shown that using nonlinear left fractional descriptions one can convert a general nonlinear closed-loop identification problem to one of open-loop identification by parametrizing the model using a Youla-Kucera parameter. The open-loop problem can be implemented by parametrizing the nonlinear Youla parameter in terms of a model of the plant. We provide gradient expressions for implementation in a steepest descent algorithm.",
author = "{De Bruyne}, F. and B. Anderson and N. Linard",
note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 1999 Information, Decision and Control, IDC 1999 ; Conference date: 08-02-1999 Through 10-02-1999",
year = "1999",
doi = "10.1109/IDC.1999.754173",
language = "English",
series = "IDC 1999 - 1999 Information, Decision and Control, Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium: Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "295--300",
booktitle = "IDC 1999 - 1999 Information, Decision and Control, Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium",
address = "United States",
}