{"id":"https://openalex.org/W3156047818","doi":"https://doi.org/10.1109/cdc45484.2021.9682932","title":"On the benefit of overparameterization in state reconstruction","display_name":"On the benefit of overparameterization in state reconstruction","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W3156047818","doi":"https://doi.org/10.1109/cdc45484.2021.9682932","mag":"3156047818"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9682932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9682932","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.05775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088423058","display_name":"Jonas F. Haderlein","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jonas F. Haderlein","raw_affiliation_strings":["University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017329457","display_name":"Iven Mareels","orcid":"https://orcid.org/0000-0002-9832-5959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iven M. Y. Mareels","raw_affiliation_strings":["IBM A/NZ,Centre for Applied Research,St Leonards,NSW,Australia,2065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM A/NZ,Centre for Applied Research,St Leonards,NSW,Australia,2065","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068762436","display_name":"Andre D. H. Peterson","orcid":"https://orcid.org/0000-0001-9620-3475"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andre D. H. Peterson","raw_affiliation_strings":["University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004267935","display_name":"Parvin Zarei Eskikand","orcid":"https://orcid.org/0000-0002-1424-6445"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Parvin Zarei Eskikand","raw_affiliation_strings":["University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002748431","display_name":"Anthony N. Burkitt","orcid":"https://orcid.org/0000-0001-5672-2772"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony N. Burkitt","raw_affiliation_strings":["University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014100961","display_name":"David B. Grayden","orcid":"https://orcid.org/0000-0002-5497-7234"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David B. Grayden","raw_affiliation_strings":["University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Biomedical Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3622,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49489292,"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":"1580","last_page":"1585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9939000010490417,"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/T10320","display_name":"Neural Networks and Applications","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7346062064170837},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.647057831287384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904406905174255},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.549834668636322},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.542941153049469},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49581560492515564},{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.47278735041618347},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4661703407764435},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.45619991421699524},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41215187311172485},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4103761911392212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37443792819976807},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36859965324401855},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3619806170463562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30721166729927063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2829287052154541},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.1723860204219818}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7346062064170837},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.647057831287384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904406905174255},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.549834668636322},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.542941153049469},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49581560492515564},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.47278735041618347},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4661703407764435},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.45619991421699524},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41215187311172485},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4103761911392212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37443792819976807},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36859965324401855},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3619806170463562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30721166729927063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2829287052154541},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.1723860204219818},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc45484.2021.9682932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9682932","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.05775","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.05775","pdf_url":"https://arxiv.org/pdf/2104.05775","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:3156047818","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2104.05775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2104.05775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.05775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.05775","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.05775","pdf_url":"https://arxiv.org/pdf/2104.05775","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1497595581","https://openalex.org/W1522531528","https://openalex.org/W1549386224","https://openalex.org/W1550331971","https://openalex.org/W1965728551","https://openalex.org/W2004964201","https://openalex.org/W2016765436","https://openalex.org/W2055930493","https://openalex.org/W2103139809","https://openalex.org/W2142039948","https://openalex.org/W2222538316","https://openalex.org/W2402144811","https://openalex.org/W2809090039","https://openalex.org/W2899283552","https://openalex.org/W2964079102","https://openalex.org/W3007957341","https://openalex.org/W3023066206","https://openalex.org/W3028721182","https://openalex.org/W3196810118","https://openalex.org/W4301168154","https://openalex.org/W6713134421","https://openalex.org/W6752495264","https://openalex.org/W6774405918"],"related_works":["https://openalex.org/W3003462916","https://openalex.org/W2127088532","https://openalex.org/W2801236553","https://openalex.org/W3176704254","https://openalex.org/W2128008719","https://openalex.org/W2952245999","https://openalex.org/W1626707960","https://openalex.org/W1964644507","https://openalex.org/W22711392","https://openalex.org/W1752690783","https://openalex.org/W2443093050","https://openalex.org/W2538193043","https://openalex.org/W2789009590","https://openalex.org/W3034809398","https://openalex.org/W3194343990","https://openalex.org/W3134046847","https://openalex.org/W2947336722","https://openalex.org/W1507013934","https://openalex.org/W2045725106","https://openalex.org/W1919484672"],"abstract_inverted_index":{"The":[0,161,175],"identification":[1],"of":[2,9,14,23,35,81,132,149],"states":[3],"and":[4,18,59,103,116,191],"parameters":[5],"from":[6,77,158],"noisy":[7],"measurements":[8],"a":[10,21,33,41,50,68,78,150,208],"dynamical":[11],"system":[12,47],"is":[13,28,54,89,178],"great":[15],"practical":[16],"significance":[17],"has":[19],"received":[20],"lot":[22],"attention.":[24],"Classically,":[25],"this":[26],"problem":[27,66],"expressed":[29],"as":[30,67,147],"optimization":[31,139],"over":[32,207],"class":[34],"models.":[36,174],"This":[37,141],"work":[38],"presents":[39],"such":[40,49],"method,":[42],"where":[43],"we":[44,91,108,128],"augment":[45],"the":[46,64,72,75,85,87,97,101,104,110,138,155,196,204],"in":[48,113,137],"way":[51],"that":[52,126,153],"there":[53],"no":[55],"distinction":[56],"between":[57],"parameter":[58],"state":[60,76,98,111,156,197],"reconstruction.":[61],"We":[62],"pose":[63],"resulting":[65],"batch":[69],"problem:":[70],"given":[71,100,209],"model,":[73],"reconstruct":[74],"finite":[79,210],"sequence":[80],"output":[82,105],"measurements.":[83,106,160],"In":[84],"case":[86],"model":[88,102],"linear,":[90],"derive":[92],"an":[93,123,169,187,193,201],"analytical":[94],"expression":[95],"for":[96,195,203],"reconstruction":[99],"Importantly,":[107],"estimate":[109,121,194,202],"trajectory":[112,157,198],"its":[114],"entirety":[115],"do":[117],"not":[118,184],"aim":[119],"to":[120,172,181],"just":[122],"initial":[124,189],"condition;":[125],"is,":[127],"use":[129],"more":[130],"degrees":[131],"freedom":[133],"than":[134],"strictly":[135],"necessary":[136],"step.":[140],"particular":[142],"approach":[143],"can":[144],"be":[145],"reinterpreted":[146],"training":[148],"neural":[151,165],"network":[152,166],"estimates":[154],"available":[159],"technology":[162],"associated":[163],"with":[164],"optimization/training":[167],"allows":[168],"easy":[170,180],"extension":[171],"nonlinear":[173],"proposed":[176],"framework":[177],"relatively":[179],"implement,":[182],"does":[183],"depend":[185],"on":[186],"informed":[188],"guess,":[190],"provides":[192],"(which":[199],"incorporates":[200],"unknown":[205],"parameters)":[206],"time":[211],"horizon.":[212]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}