A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing

A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing

We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparamet...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ASME letters in dynamic systems and control 2023-04, Vol.3 (2)
Hauptverfasser: Ouyang, Jinhua, Chen, Xu
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 2
container_start_page
container_title ASME letters in dynamic systems and control
container_volume 3
creator Ouyang, Jinhua
Chen, Xu
description We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback.
doi_str_mv 10.1115/1.4063481
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1115_1_4063481</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1115_1_4063481</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_1115_1_40634813</originalsourceid><addsrcrecordid>eNqVjzsPAUEUhSdCQlD4B7dVLHN37aIUITQKjygnY_cuw-6MzAyJf-8R0au-U5xzko-xDvIeIsZ97A14Eg1GWGGNMBmNgwTDuPrLOKyztnNnznkYY4TRuMFOE1hTerNO3Qk2D-ephGVG2qtcpdIro2Gv_AlWRgc7rXJjS9hSeTVWFjAnyg4yvcBOZ2Rhaq5WlfRiUcjDq-E_p6Sd0scWq-WycNT-ssm689l2ughSa5yzlIv3WNqHQC7eNgLF1yb6p_sE3VtPyQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing</title><source>ASME Transactions Journals (Current)</source><creator>Ouyang, Jinhua ; Chen, Xu</creator><creatorcontrib>Ouyang, Jinhua ; Chen, Xu</creatorcontrib><description>We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback.</description><identifier>ISSN: 2689-6117</identifier><identifier>EISSN: 2689-6125</identifier><identifier>DOI: 10.1115/1.4063481</identifier><language>eng</language><ispartof>ASME letters in dynamic systems and control, 2023-04, Vol.3 (2)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-crossref_primary_10_1115_1_40634813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ouyang, Jinhua</creatorcontrib><creatorcontrib>Chen, Xu</creatorcontrib><title>A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing</title><title>ASME letters in dynamic systems and control</title><description>We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback.</description><issn>2689-6117</issn><issn>2689-6125</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqVjzsPAUEUhSdCQlD4B7dVLHN37aIUITQKjygnY_cuw-6MzAyJf-8R0au-U5xzko-xDvIeIsZ97A14Eg1GWGGNMBmNgwTDuPrLOKyztnNnznkYY4TRuMFOE1hTerNO3Qk2D-ephGVG2qtcpdIro2Gv_AlWRgc7rXJjS9hSeTVWFjAnyg4yvcBOZ2Rhaq5WlfRiUcjDq-E_p6Sd0scWq-WycNT-ssm689l2ughSa5yzlIv3WNqHQC7eNgLF1yb6p_sE3VtPyQ</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Ouyang, Jinhua</creator><creator>Chen, Xu</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20230401</creationdate><title>A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing</title><author>Ouyang, Jinhua ; Chen, Xu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_1115_1_40634813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ouyang, Jinhua</creatorcontrib><creatorcontrib>Chen, Xu</creatorcontrib><collection>CrossRef</collection><jtitle>ASME letters in dynamic systems and control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ouyang, Jinhua</au><au>Chen, Xu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing</atitle><jtitle>ASME letters in dynamic systems and control</jtitle><date>2023-04-01</date><risdate>2023</risdate><volume>3</volume><issue>2</issue><issn>2689-6117</issn><eissn>2689-6125</eissn><abstract>We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback.</abstract><doi>10.1115/1.4063481</doi></addata></record>
fulltext fulltext
identifier ISSN: 2689-6117
ispartof ASME letters in dynamic systems and control, 2023-04, Vol.3 (2)
issn 2689-6117
2689-6125
language eng
recordid cdi_crossref_primary_10_1115_1_4063481
source ASME Transactions Journals (Current)
title A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T12%3A19%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Recursive%20System%20Identification%20With%20Non-Uniform%20Temporal%20Feedback%20Under%20Coprime%20Collaborative%20Sensing&rft.jtitle=ASME%20letters%20in%20dynamic%20systems%20and%20control&rft.au=Ouyang,%20Jinhua&rft.date=2023-04-01&rft.volume=3&rft.issue=2&rft.issn=2689-6117&rft.eissn=2689-6125&rft_id=info:doi/10.1115/1.4063481&rft_dat=%3Ccrossref%3E10_1115_1_4063481%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true