Statistical analysis of least-squares identification for robust control design: output error case with affine parameterization

Robert L. Kosut*, Brain D.O. Anderson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Precise, finite-data statistical properties are determined using a least-squares estimator based on an output error model with an affine parameter representation where the true system is of output error form, but is not in the model set. The purpose of the analysis is to show the effect of unmodeled dynamics on the resulting closed-loop system designed on the basis of the estimated transfer function. This simple problem set-up is prototypical of the interplay between system identification and robust control design.

Original languageEnglish
Title of host publicationAmerican Control Conference
Editors Anon
PublisherPubl by IEEE
Pages2006-2010
Number of pages5
ISBN (Print)0780308611
Publication statusPublished - 1993
Externally publishedYes
EventProceedings of the 1993 American Control Conference Part 3 (of 3) - San Francisco, CA, USA
Duration: 2 Jun 19934 Jun 1993

Publication series

NameAmerican Control Conference

Conference

ConferenceProceedings of the 1993 American Control Conference Part 3 (of 3)
CitySan Francisco, CA, USA
Period2/06/934/06/93

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