{"id":"https://openalex.org/W2013480362","doi":"https://doi.org/10.1080/01969720050192072","title":"PARAMETRIC IDENTIFICATION OF LINEAR NOISY INPUT-OUTPUT SYSTEMS","display_name":"PARAMETRIC IDENTIFICATION OF LINEAR NOISY INPUT-OUTPUT SYSTEMS","publication_year":2000,"publication_date":"2000-10-01","ids":{"openalex":"https://openalex.org/W2013480362","doi":"https://doi.org/10.1080/01969720050192072","mag":"2013480362"},"language":"en","primary_location":{"id":"doi:10.1080/01969720050192072","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192072","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"},"type":"article","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/A5108050907","display_name":"Wei Xing Zheng","orcid":"https://orcid.org/0000-0002-0572-5938"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Xing Zheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108050907"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9865,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78643865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"7","first_page":"803","last_page":"816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9954000115394592,"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":0.9936000108718872,"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/estimator","display_name":"Estimator","score":0.6803584694862366},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.62595534324646},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.6155831217765808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002217531204224},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5399349927902222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5247547626495361},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5156298875808716},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4778825342655182},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4683971405029297},{"id":"https://openalex.org/keywords/input/output","display_name":"Input/output","score":0.45132628083229065},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.44098666310310364},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.4407927095890045},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41301628947257996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4022018015384674},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3953646421432495},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34501779079437256},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19328683614730835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11726266145706177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11602529883384705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07875701785087585},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.07444053888320923}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6803584694862366},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.62595534324646},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.6155831217765808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002217531204224},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5399349927902222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5247547626495361},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5156298875808716},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4778825342655182},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4683971405029297},{"id":"https://openalex.org/C196697905","wikidata":"https://www.wikidata.org/wiki/Q2042052","display_name":"Input/output","level":2,"score":0.45132628083229065},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.44098666310310364},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.4407927095890045},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41301628947257996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4022018015384674},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3953646421432495},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34501779079437256},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19328683614730835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11726266145706177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11602529883384705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07875701785087585},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.07444053888320923},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720050192072","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192072","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1984191672","https://openalex.org/W2167126078","https://openalex.org/W2390716300","https://openalex.org/W2379160467","https://openalex.org/W2969695033","https://openalex.org/W350588114","https://openalex.org/W1997130844","https://openalex.org/W4250719734","https://openalex.org/W2732818610","https://openalex.org/W2022276156"],"abstract_inverted_index":{"An":[0],"efficient":[1],"method":[2,15,75],"is":[3,16],"proposed":[4,74],"for":[5],"identification":[6],"of":[7,20,41,45,52],"linear":[8],"noisy":[9],"input-output":[10],"systems.":[11],"Central":[12],"to":[13,63],"this":[14],"that":[17],"the":[18,21,28,31,39,43,47,50,53,65,73,80],"variances":[19],"input":[22],"and":[23,49],"output":[24],"noises,":[25],"which":[26],"determine":[27],"bias":[29],"in":[30,38],"ordinary":[32],"least-squares":[33],"(LS)":[34],"estimator,":[35],"are":[36,96],"estimated":[37],"way":[40],"increasing":[42],"degrees":[44],"both":[46],"denominator":[48],"numerator":[51],"system":[54],"transfer":[55],"function":[56],"by":[57],"one,":[58],"but":[59],"with":[60,87],"no":[61],"need":[62],"evaluate":[64],"average":[66],"LS":[67],"errors.":[68],"While":[69],"achieving":[70],"estimation":[71,90],"unbiasedness,":[72],"exhibits":[76],"algorithmic":[77],"advantages":[78],"over":[79],"LS-based":[81],"algorithms":[82,91],"recently":[83],"developed.":[84],"Performance":[85],"comparisons":[86],"other":[88],"existing":[89],"based":[92],"upon":[93],"computer":[94],"simulations":[95],"given.":[97]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}