Identification of nonlinear plants under linear control using Youla-Kucera parametrizations

Natasha Linard*, Brian D.O. Anderson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

This paper treats the identification of a noise contaminated nonlinear plant operating in a closed-loop with a stabilizing controller. The a priori model of the plant is nonlinear, and its update is obtained via a Youla-Kucera parameter. The introduction of this parameter induces a nonstandard open-loop identification problem, which in a low noise situation can be formulated as a standard open-loop problem.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages1094–1098
Publication statusPublished - 1996
EventProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn
Duration: 11 Dec 199613 Dec 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume1
ISSN (Print)0191-2216

Conference

ConferenceProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4)
CityKobe, Jpn
Period11/12/9613/12/96

Cite this