{"id":"https://openalex.org/W4402263387","doi":"https://doi.org/10.23919/acc60939.2024.10644807","title":"State-Space System Identification Beyond the Nyquist Frequency with Collaborative Non-Uniform Sensing Data","display_name":"State-Space System Identification Beyond the Nyquist Frequency with Collaborative Non-Uniform Sensing Data","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402263387","doi":"https://doi.org/10.23919/acc60939.2024.10644807"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10644807","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","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/A5078664149","display_name":"Xiaohai Hu","orcid":"https://orcid.org/0000-0001-7955-3510"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohai Hu","raw_affiliation_strings":["University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113368619","display_name":"Thomas L. Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas L. Chu","raw_affiliation_strings":["University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001037360","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-4604-5744"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,Mechanical Engineering Department,Seattle,WA,USA,98195","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"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":null,"issue":null,"first_page":"5400","last_page":"5405"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991000294685364,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6169146299362183},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5630983114242554},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4471471905708313},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4386856257915497},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.43310391902923584},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32883161306381226},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2190205454826355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21241047978401184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1602381467819214},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1530882716178894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12662941217422485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12590762972831726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6169146299362183},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5630983114242554},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4471471905708313},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4386856257915497},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.43310391902923584},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32883161306381226},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2190205454826355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21241047978401184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1602381467819214},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1530882716178894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12662941217422485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12590762972831726},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10644807","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6435355756","display_name":null,"funder_award_id":"CMMI-1953155,CMMI-2141293","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W105751747","https://openalex.org/W1511275238","https://openalex.org/W1830266433","https://openalex.org/W2006905088","https://openalex.org/W2029277655","https://openalex.org/W2063678701","https://openalex.org/W2067812733","https://openalex.org/W2116775043","https://openalex.org/W2119462269","https://openalex.org/W2122056900","https://openalex.org/W2122503433","https://openalex.org/W2130462063","https://openalex.org/W2167933592","https://openalex.org/W2172005403","https://openalex.org/W2492870335","https://openalex.org/W2539552782","https://openalex.org/W2804357856","https://openalex.org/W2886047731","https://openalex.org/W2995764727","https://openalex.org/W2999535065","https://openalex.org/W3185755384","https://openalex.org/W4206208469","https://openalex.org/W4240691156","https://openalex.org/W4382935753"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W2367893528","https://openalex.org/W3107784576","https://openalex.org/W2361003288"],"abstract_inverted_index":{"In":[0],"a":[1,6,24,28,48,86,113],"multirate":[2,78],"sampled-data":[3],"system":[4,79,104,121],"encompassing":[5],"continuous-time":[7],"process":[8],"and":[9,18,74,100,140],"multiple":[10,138],"output":[11],"samplers":[12],"with":[13,23,27,137],"periods":[14],"<tex":[15,19,31],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[16,20,32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$n_{1}T$</tex>":[17],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$n_{2}T$</tex>,":[21],"coupled":[22],"zero-order":[25],"hold":[26],"period":[29],"of":[30,76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$mT$</tex>":[33],"for":[34,90],"the":[35,59,63,71,77,91,102,119],"input,":[36],"we":[37,116],"introduce":[38],"an":[39,123],"innovative":[40],"approach":[41],"that":[42],"leverages":[43],"non-uniform":[44],"data":[45],"collated":[46],"through":[47,122,134],"coprime":[49],"collaborative":[50],"sensing":[51],"mechanism.":[52],"The":[53,65,127],"ultimate":[54],"aim":[55],"is":[56,82,95,131],"to":[57,70],"identify":[58],"intricate":[60],"dynamics":[61,80],"governing":[62],"system.":[64,92],"predominant":[66],"challenge":[67],"-":[68,81],"relating":[69],"accurate":[72],"identification":[73],"representation":[75],"addressed":[83],"by":[84,97],"pioneering":[85],"lifted":[87],"state-space":[88],"model":[89,94,111],"This":[93],"achieved":[96],"building":[98],"upon":[99],"extending":[101],"subspace":[103],"identification.":[105],"Moving":[106],"forth,":[107],"using":[108],"this":[109],"elevated":[110],"as":[112],"foundational":[114],"basis,":[115],"seamlessly":[117],"extract":[118],"single-rate":[120],"eigenvalue":[124],"decomposition":[125],"process.":[126],"proposed":[128],"methodology's":[129],"efficacy":[130],"empirically":[132],"tested":[133],"demonstrative":[135],"examples":[136],"orders":[139],"varying":[141],"coefficients.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}