{"id":"https://openalex.org/W2761356778","doi":"https://doi.org/10.23919/acc.2018.8430895","title":"Regularized parametric system identification: a decision-theoretic formulation","display_name":"Regularized parametric system identification: a decision-theoretic formulation","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2761356778","doi":"https://doi.org/10.23919/acc.2018.8430895","mag":"2761356778"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8430895","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8430895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.04009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068481144","display_name":"Johan W\u00e5gberg","orcid":null},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Johan Wagberg","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden","Uppsala University, Dept. of Information Technology, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Uppsala University, Dept. of Information Technology, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043094282","display_name":"Dave Zachariah","orcid":"https://orcid.org/0000-0002-6698-0166"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Dave Zachariah","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden","Uppsala University, Dept. of Information Technology, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Uppsala University, Dept. of Information Technology, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083090794","display_name":"Thomas B. Sch\u00f6n","orcid":"https://orcid.org/0000-0001-5183-234X"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Thomas B. Schon","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden","Uppsala University, Dept. of Information Technology, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Uppsala University, Dept. of Information Technology, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068481144"],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":0.1869,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4621011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1895","last_page":"1900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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":0.9998000264167786,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9991000294685364,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7007369995117188},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.6050260066986084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5847880840301514},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5579349398612976},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5562595129013062},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4929070472717285},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4900892972946167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44704583287239075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4204462170600891},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4201355576515198},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3798520565032959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3581235110759735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33374854922294617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19144660234451294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11527138948440552},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.07416677474975586}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7007369995117188},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.6050260066986084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5847880840301514},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5579349398612976},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5562595129013062},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4929070472717285},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4900892972946167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44704583287239075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4204462170600891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4201355576515198},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3798520565032959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3581235110759735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33374854922294617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19144660234451294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11527138948440552},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.07416677474975586},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/acc.2018.8430895","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8430895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1710.04009","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.04009","pdf_url":"https://arxiv.org/pdf/1710.04009","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2761356778","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.04009.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1710.04009","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.04009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.04009","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.04009","pdf_url":"https://arxiv.org/pdf/1710.04009","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2761356778.pdf","grobid_xml":"https://content.openalex.org/works/W2761356778.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1746819321","https://openalex.org/W1965324089","https://openalex.org/W1988520084","https://openalex.org/W2021065610","https://openalex.org/W2039723583","https://openalex.org/W2058030217","https://openalex.org/W2092766760","https://openalex.org/W2330213528","https://openalex.org/W3123857276"],"related_works":["https://openalex.org/W2963885563","https://openalex.org/W2781321050","https://openalex.org/W2996452449","https://openalex.org/W2080997900","https://openalex.org/W2957029631","https://openalex.org/W2145959351","https://openalex.org/W2544751060","https://openalex.org/W2063791629","https://openalex.org/W3110592825","https://openalex.org/W1981573976","https://openalex.org/W2183415883","https://openalex.org/W2963153583","https://openalex.org/W2013742548","https://openalex.org/W2915877864","https://openalex.org/W2997376001","https://openalex.org/W1888696159","https://openalex.org/W2142149019","https://openalex.org/W3007235251","https://openalex.org/W3127339027","https://openalex.org/W2473941391"],"abstract_inverted_index":{"Parametric":[0],"prediction":[1],"error":[2],"methods":[3],"constitute":[4],"a":[5,58,68,79,83,119],"classical":[6,98],"approach":[7,39,116],"to":[8,56,118,125],"the":[9,41,62,65,73,87,94,97,104],"identification":[10,74,90],"of":[11,61,67,75,86],"linear":[12],"dynamic":[13],"systems":[14],"with":[15,45],"excellent":[16,46],"large-sample":[17],"properties.":[18,48],"A":[19],"more":[20],"recent":[21],"regularized":[22,100,120],"approach,":[23],"inspired":[24],"by":[25],"machine":[26],"learning":[27],"and":[28,99],"Bayesian":[29],"methods,":[30],"has":[31],"also":[32],"gained":[33],"attention.":[34],"Methods":[35],"based":[36],"on":[37],"this":[38,114],"estimate":[40],"system":[42,63,89],"impulse":[43],"response":[44],"small-sample":[47],"In":[49],"several":[50],"applications,":[51],"however,":[52],"it":[53],"is":[54,123],"desirable":[55],"obtain":[57],"compact":[59],"representation":[60],"in":[64],"form":[66],"parametric":[69,88],"model.":[70],"By":[71],"viewing":[72],"such":[76],"models":[77],"as":[78,108,128,130],"decision,":[80],"we":[81,111],"develop":[82],"decision-theoretic":[84,115],"formulation":[85],"problem":[91],"that":[92,113,122],"bridges":[93],"gap":[95],"between":[96],"approaches":[101],"above.":[102],"Using":[103],"output-error":[105],"model":[106],"class":[107],"an":[109],"illustration,":[110],"show":[112],"leads":[117],"method":[121],"robust":[124],"small":[126],"sample-sizes":[127],"well":[129],"overparameterization.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
