{"id":"https://openalex.org/W2891758727","doi":"https://doi.org/10.1109/tii.2018.2871194","title":"Robust Identification of Nonlinear Systems With Missing Observations: The Case of State-Space Model Structure","display_name":"Robust Identification of Nonlinear Systems With Missing Observations: The Case of State-Space Model Structure","publication_year":2018,"publication_date":"2018-09-20","ids":{"openalex":"https://openalex.org/W2891758727","doi":"https://doi.org/10.1109/tii.2018.2871194","mag":"2891758727"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2018.2871194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2871194","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5014117708","display_name":"Xianqiang Yang","orcid":"https://orcid.org/0000-0002-0036-6921"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianqiang Yang","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352205","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-2504-8962"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069744156","display_name":"Shen Yin","orcid":"https://orcid.org/0000-0002-3802-9269"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Yin","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014117708"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.8057,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.91197036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"15","issue":"5","first_page":"2763","last_page":"2774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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":0.996999979019165,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.993399977684021,"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/outlier","display_name":"Outlier","score":0.8262699246406555},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6618686318397522},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6427347660064697},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.593345582485199},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.5422916412353516},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5057182312011719},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5042580366134644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49472400546073914},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4448205232620239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43180131912231445},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4302385449409485},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4287172853946686},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.41231778264045715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34852519631385803},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.33831727504730225},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.303575724363327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1970844566822052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15249556303024292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12293452024459839},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.11513793468475342}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8262699246406555},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6618686318397522},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6427347660064697},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.593345582485199},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.5422916412353516},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5057182312011719},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5042580366134644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49472400546073914},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4448205232620239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43180131912231445},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4302385449409485},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4287172853946686},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.41231778264045715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34852519631385803},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.33831727504730225},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.303575724363327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1970844566822052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15249556303024292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12293452024459839},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.11513793468475342},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2018.2871194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2871194","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1327012065","display_name":null,"funder_award_id":"61503097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8356692313","display_name":null,"funder_award_id":"61627901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1969372336","https://openalex.org/W1985570813","https://openalex.org/W2022192511","https://openalex.org/W2032821077","https://openalex.org/W2034442390","https://openalex.org/W2052886157","https://openalex.org/W2053742104","https://openalex.org/W2058662333","https://openalex.org/W2059655501","https://openalex.org/W2084633092","https://openalex.org/W2102384358","https://openalex.org/W2125945227","https://openalex.org/W2144567492","https://openalex.org/W2159165289","https://openalex.org/W2160337655","https://openalex.org/W2293850855","https://openalex.org/W2439900725","https://openalex.org/W2516272379","https://openalex.org/W2522467422","https://openalex.org/W2560234987","https://openalex.org/W2569381866","https://openalex.org/W2588638671","https://openalex.org/W2594805023","https://openalex.org/W2604989875","https://openalex.org/W2605408670","https://openalex.org/W2621743538","https://openalex.org/W2741186781","https://openalex.org/W2792802223","https://openalex.org/W2805956403","https://openalex.org/W2917219381","https://openalex.org/W3099553626","https://openalex.org/W6665178822","https://openalex.org/W6726112481"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1595492935","https://openalex.org/W1987213476","https://openalex.org/W176335707","https://openalex.org/W4245871790"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,59,66,81,102,107,115,118,132,135],"robust":[4,50,90],"identification":[5,74,93],"of":[6,20,28,68,80,83,117,134],"nonlinear":[7,72,91],"systems":[8],"in":[9,36,46,85],"state-space":[10],"setting":[11],"with":[12,16,62,95,101],"output":[13,21,60],"measurements":[14,22,61],"contaminated":[15],"outliers":[17,29,69],"and":[18,30,40,65,106,124],"part":[19],"missing":[23,31],"at":[24],"random.":[25],"The":[26,49,88],"problems":[27],"observations":[32],"are":[33,41,128],"often":[34],"encountered":[35],"practical":[37],"industrial":[38],"processes":[39],"taken":[42],"into":[43],"consideration":[44],"comprehensively":[45],"this":[47],"work.":[48],"Student's":[51,86],"t-based":[52],"observation":[53],"model":[54,58],"is":[55,99,110],"built":[56],"to":[57,112,130],"stochastic":[63],"outliers,":[64],"impact":[67],"imposed":[70],"on":[71],"system":[73,92],"can":[75],"be":[76],"suppressed":[77],"through":[78],"inference":[79],"degree":[82],"freedom":[84],"t-distribution.":[87],"proposed":[89,136],"method":[94],"an":[96],"incomplete":[97],"dataset":[98],"derived":[100],"expectation-maximization":[103],"(EM)":[104],"algorithm,":[105],"particle":[108],"filter":[109],"employed":[111],"numerically":[113],"approximate":[114],"Q-function":[116],"EM":[119],"algorithm.":[120],"A":[121],"numerical":[122],"example":[123],"a":[125],"chemical":[126],"process":[127],"utilized":[129],"demonstrate":[131],"superiority":[133],"strategy.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
