{"id":"https://openalex.org/W2031212923","doi":"https://doi.org/10.1109/ecc.2014.6862373","title":"Wiener system identification by weighted principal component analysis","display_name":"Wiener system identification by weighted principal component analysis","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2031212923","doi":"https://doi.org/10.1109/ecc.2014.6862373","mag":"2031212923"},"language":"en","primary_location":{"id":"doi:10.1109/ecc.2014.6862373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecc.2014.6862373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 European Control Conference (ECC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100327267","display_name":"Qinghua Zhang","orcid":"https://orcid.org/0000-0002-1513-3709"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Qinghua Zhang","raw_affiliation_strings":["INRIA, Rennes Cedex, France","Inria-Rennes, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, Rennes Cedex, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Inria-Rennes, France#TAB#","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087720658","display_name":"Vincent Laurain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110792","display_name":"Centre de Recherche en Automatique de Nancy","ror":"https://ror.org/022r5hc56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210099203","https://openalex.org/I4210100260","https://openalex.org/I4210110792","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Laurain","raw_affiliation_strings":["Vincent Laurain is with CRAN, Universit\u00e9 de Lorraine, France","CRAN, Univ. de Lorraine, Vandoeuvre-le\u0300s-Nancy, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vincent Laurain is with CRAN, Universit\u00e9 de Lorraine, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210110792"]},{"raw_affiliation_string":"CRAN, Univ. de Lorraine, Vandoeuvre-le\u0300s-Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210110792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1705","last_page":"1710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6222654581069946},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5913024544715881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5895659327507019},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.5847253799438477},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5561502575874329},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5331750512123108},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5289516448974609},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.501338005065918},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4890635907649994},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.4531635344028473},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4324561357498169},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4081122875213623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3749665915966034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3317672610282898},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16150030493736267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15346577763557434},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.1301320195198059},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.09665822982788086},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0744180977344513},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.07424840331077576}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6222654581069946},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5913024544715881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5895659327507019},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.5847253799438477},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5561502575874329},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5331750512123108},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5289516448974609},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.501338005065918},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4890635907649994},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.4531635344028473},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4324561357498169},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4081122875213623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3749665915966034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3317672610282898},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16150030493736267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15346577763557434},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.1301320195198059},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.09665822982788086},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0744180977344513},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.07424840331077576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecc.2014.6862373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecc.2014.6862373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W597759326","https://openalex.org/W1512638263","https://openalex.org/W1598493736","https://openalex.org/W1971630942","https://openalex.org/W1973407458","https://openalex.org/W2008497695","https://openalex.org/W2009370490","https://openalex.org/W2013145118","https://openalex.org/W2025138542","https://openalex.org/W2076118331","https://openalex.org/W2086248552","https://openalex.org/W2106644107","https://openalex.org/W2110626713","https://openalex.org/W2124417919","https://openalex.org/W2137166861","https://openalex.org/W2143116196","https://openalex.org/W2148320964","https://openalex.org/W2158491676","https://openalex.org/W6652319137","https://openalex.org/W6653950412","https://openalex.org/W6678681688"],"related_works":["https://openalex.org/W2591816639","https://openalex.org/W2363395155","https://openalex.org/W1986055485","https://openalex.org/W2276822462","https://openalex.org/W2094499330","https://openalex.org/W4247791375","https://openalex.org/W1981527759","https://openalex.org/W1529631489","https://openalex.org/W2101820577","https://openalex.org/W2131048104"],"abstract_inverted_index":{"Wiener":[0,40,50,100,138],"system":[1,41,51],"identification":[2],"is":[3,52,83,94,112],"investigated":[4],"in":[5,59,80,96],"this":[6,26,81,97],"paper":[7,27,82,98],"with":[8,102,132,140],"a":[9,32,86,119],"finite":[10],"impulse":[11],"response":[12],"(FIR)":[13],"model":[14],"of":[15,22,34,48,118],"the":[16,20,35,46,49,60,67,74,114,128,133],"linear":[17,69],"subsystem.":[18],"Under":[19],"assumption":[21],"Gaussian":[23,62],"input":[24,63],"distribution,":[25],"mainly":[28],"aims":[29],"at":[30],"addressing":[31],"deficiency":[33],"well-known":[36],"correlation-based":[37,134],"method":[38,57,78,131,135],"for":[39,99,136],"identification:":[42],"it":[43],"fails":[44],"when":[45],"nonlinearity":[47],"an":[53,147],"even":[54,104,107,148],"function.":[55,149],"This":[56],"is,":[58],"considered":[61],"case,":[64],"equivalent":[65],"to":[66,126,146],"best":[68],"approximation":[70],"(BLA),":[71],"which":[72],"exhibits":[73],"same":[75,115],"deficiency.":[76],"The":[77],"proposed":[79,129],"based":[84],"on":[85],"weighted":[87],"principal":[88],"component":[89],"analysis":[90],"(wPCA).":[91],"Its":[92,109],"consistency":[93],"proved":[95],"systems":[101,139],"either":[103],"or":[105,143],"non":[106],"nonlinearities.":[108],"computational":[110],"cost":[111],"almost":[113],"as":[116],"that":[117],"standard":[120],"PCA.":[121],"Numerical":[122],"examples":[123],"are":[124],"presented":[125],"compare":[127],"wPCA-based":[130],"different":[137],"nonlinearities":[141],"more":[142],"less":[144],"close":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
