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Bias compensation recursive least squares estimate algorithm with forgetting factor for output error model

  • Harbin Institute of Technology Shenzhen
  • Beijing Institute of Astronautical Systems Engineering

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

Abstract

Bias compensation recursive least squares identification algorithm with forgetting factor for output error model is proposed. This algorithm can estimate the parameters of time-varying systems effectively. The simulation proves the effectiveness of the algorithm.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages1717-1722
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Externally publishedYes
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Bias Compensation
  • Forgetting Factor
  • Least Squares

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