A Novel Recursive Linear Estimator Based on the Frisch Scheme

Stefano Massaroli, Renato Miyagusuku, Federico Califano, Angela Faragasso, Atsushi Yamashita, Hajime Asama

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

1 Scopus citations

Abstract

This paper proposes an innovative identification scheme to estimate parameters constituting linear relations in time-invariant systems: the bounding box recursive Frisch scheme. A novel recursive version of the Frisch scheme, a linear estimator characterised by mild prior assumptions in the error-in-variables (EIV) framework, has been derived. The fast computational time and convergence in the identification of linear systems are the most relevant feature of this recursive version of the scheme. The performance of the developed algorithm has been evaluated trough numerical simulations. Results proved the effectiveness and accuracy of the proposed solution.

Original languageEnglish
Title of host publication2019 12th Asian Control Conference, ASCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1101-1106
Number of pages6
ISBN (Electronic)9784888983006
StatePublished - Jun 2019
Externally publishedYes
Event12th Asian Control Conference, ASCC 2019 - Kitakyushu-shi, Japan
Duration: 9 Jun 201912 Jun 2019

Publication series

Name2019 12th Asian Control Conference, ASCC 2019

Conference

Conference12th Asian Control Conference, ASCC 2019
Country/TerritoryJapan
CityKitakyushu-shi
Period9/06/1912/06/19

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