{"id":"https://openalex.org/W2020000948","doi":"https://doi.org/10.1109/cdc.2008.4739046","title":"Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation","display_name":"Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2020000948","doi":"https://doi.org/10.1109/cdc.2008.4739046","mag":"2020000948"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2008.4739046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2008.4739046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 47th IEEE Conference on Decision and Control","raw_type":"proceedings-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/A5035703246","display_name":"S. Bittanti","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sergio Bittanti","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","Dipt. di Elettron. ed Inf., Politec. di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipt. di Elettron. ed Inf., Politec. di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080248970","display_name":"Simone Garatti","orcid":"https://orcid.org/0000-0002-5451-6892"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Garatti","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","Dipt. di Elettron. ed Inf., Politec. di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipt. di Elettron. ed Inf., Politec. di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035703246"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.7562,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.873252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"41","issue":null,"first_page":"1956","last_page":"1961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"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/T11236","display_name":"Control Systems and Identification","score":0.998199999332428,"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/estimation-theory","display_name":"Estimation theory","score":0.7341222763061523},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7124260663986206},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.7095068097114563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869759559631348},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6774056553840637},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6606999635696411},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6021543145179749},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5354884266853333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4589653015136719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31678110361099243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2426527738571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2314070761203766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21560415625572205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19312378764152527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08307385444641113}],"concepts":[{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.7341222763061523},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7124260663986206},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.7095068097114563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869759559631348},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6774056553840637},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6606999635696411},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6021543145179749},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5354884266853333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4589653015136719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31678110361099243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2426527738571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2314070761203766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21560415625572205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19312378764152527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08307385444641113},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":2,"locations":[{"id":"doi:10.1109/cdc.2008.4739046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2008.4739046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 47th IEEE Conference on Decision and Control","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/534754","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/534754","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W296863324","https://openalex.org/W633114123","https://openalex.org/W1531218787","https://openalex.org/W1574519971","https://openalex.org/W1669478466","https://openalex.org/W1804494423","https://openalex.org/W1964967499","https://openalex.org/W1965324089","https://openalex.org/W1981364618","https://openalex.org/W2019954549","https://openalex.org/W2098816895","https://openalex.org/W2099544223","https://openalex.org/W2102249043","https://openalex.org/W2121990344","https://openalex.org/W2123487311","https://openalex.org/W2132902886","https://openalex.org/W2138784338","https://openalex.org/W2293807537","https://openalex.org/W2296814610","https://openalex.org/W2397440404","https://openalex.org/W2790374560","https://openalex.org/W2794413559","https://openalex.org/W2913465992","https://openalex.org/W4230675943","https://openalex.org/W6697660247"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2370409284"],"abstract_inverted_index":{"In":[0,87],"this":[1,88],"paper,":[2],"we":[3,90,131],"consider":[4],"one":[5,52],"of":[6,12,23,35,63,76,127,137,145],"the":[7,33,36,40,64,77,95,100,150],"basic":[8],"estimation":[9,34,72,102,114],"problem,":[10],"that":[11,149],"identifying":[13],"an":[14,56],"unknown":[15],"parameter":[16,41,65,113],"in":[17,42,85],"a":[18,43,92,128],"given":[19,44],"model":[20],"from":[21],"measurements":[22],"input/output":[24],"data.":[25],"The":[26,74],"existing":[27],"methods":[28],"have":[29],"been":[30],"conceived":[31],"for":[32,60],"value":[37],"taken":[38],"by":[39,140],"functioning":[45,69],"condition.":[46],"However,":[47],"there":[48],"are":[49],"situations":[50],"where":[51],"has":[53],"to":[54,82,99],"provide":[55],"estimator":[57],"equally":[58],"valid":[59],"different":[61],"values":[62],"associated":[66],"with":[67,108,111],"various":[68],"conditions":[70],"(multi-value":[71],"problem).":[73],"application":[75],"available":[78],"techniques":[79,115],"lead":[80],"then":[81],"poor":[83],"accuracy":[84],"estimation.":[86],"paper":[89],"propose":[91],"novel":[93],"approach,":[94,97],"two-stage":[96],"tailored":[98],"multi-value":[101],"problem.":[103],"We":[104],"compare":[105],"its":[106],"performances":[107],"those":[109],"achievable":[110],"other":[112],"such":[116],"as":[117],"prediction":[118],"error":[119],"and":[120,135],"Kalman":[121],"filter":[122],"based":[123],"methods.":[124],"By":[125],"means":[126],"benchmark":[129],"example,":[130],"spot":[132],"out":[133],"advantages":[134],"drawbacks":[136],"each":[138],"method,":[139],"also":[141],"discussing":[142],"their":[143],"domain":[144],"applicability.":[146],"It":[147],"turns":[148],"two":[151],"stage":[152],"approach":[153],"offers":[154],"significant":[155],"improvements.":[156]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}