{"id":"https://openalex.org/W3089837299","doi":"https://doi.org/10.1177/0142331220960249","title":"Identification of switched linear systems based on expectation-maximization and Bayesian algorithms","display_name":"Identification of switched linear systems based on expectation-maximization and Bayesian algorithms","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3089837299","doi":"https://doi.org/10.1177/0142331220960249","mag":"3089837299"},"language":"en","primary_location":{"id":"doi:10.1177/0142331220960249","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331220960249","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","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/A5062977182","display_name":"Xiujun Chai","orcid":"https://orcid.org/0000-0002-3494-1373"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujun Chai","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, P.R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615322","display_name":"Hongwei Wang","orcid":"https://orcid.org/0000-0002-1427-143X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, P.R. China","School of Electrical Engineering, Xinjiang University, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, P.R. China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, P.R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073687369","display_name":"Xinru Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Ji","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, P.R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403251","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0003-3057-3742"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, P.R. China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100615322"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.12043759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"43","issue":"2","first_page":"412","last_page":"420"},"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":0.9987000226974487,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9847000241279602,"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/algorithm","display_name":"Algorithm","score":0.6315472722053528},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5669747591018677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394232273101807},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.494773805141449},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4939129948616028},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.49304720759391785},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.49138370156288147},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4509928524494171},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.42858651280403137},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41090309619903564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.359696626663208},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.29440951347351074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23170402646064758},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2155928909778595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15849921107292175},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11804470419883728}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6315472722053528},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5669747591018677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394232273101807},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.494773805141449},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4939129948616028},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.49304720759391785},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.49138370156288147},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4509928524494171},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.42858651280403137},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41090309619903564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.359696626663208},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29440951347351074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23170402646064758},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2155928909778595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15849921107292175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11804470419883728},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1177/0142331220960249","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331220960249","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3630256640","display_name":null,"funder_award_id":"XJ2019G060","funder_id":"https://openalex.org/F4320328898","funder_display_name":"Natural Science Foundation of Xinjiang"},{"id":"https://openalex.org/G963893049","display_name":null,"funder_award_id":"61863034","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"},{"id":"https://openalex.org/F4320328898","display_name":"Natural Science Foundation of Xinjiang","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1498475891","https://openalex.org/W1532495499","https://openalex.org/W1552094772","https://openalex.org/W1661824700","https://openalex.org/W1916461295","https://openalex.org/W1964409440","https://openalex.org/W1970134289","https://openalex.org/W1992283848","https://openalex.org/W2001738877","https://openalex.org/W2036492038","https://openalex.org/W2083880268","https://openalex.org/W2098836504","https://openalex.org/W2118139512","https://openalex.org/W2132427735","https://openalex.org/W2138353699","https://openalex.org/W2149194838","https://openalex.org/W2151613785","https://openalex.org/W2167025131","https://openalex.org/W2311330801","https://openalex.org/W2409856043","https://openalex.org/W2558611365","https://openalex.org/W2741116342","https://openalex.org/W2767189643","https://openalex.org/W2999762098","https://openalex.org/W3104241979","https://openalex.org/W4238093859","https://openalex.org/W4301005820"],"related_works":["https://openalex.org/W1514609475","https://openalex.org/W1976188970","https://openalex.org/W2032094637","https://openalex.org/W2040227828","https://openalex.org/W2889559465","https://openalex.org/W2990541822","https://openalex.org/W2060045818","https://openalex.org/W2131935101","https://openalex.org/W856257623","https://openalex.org/W2892315154"],"abstract_inverted_index":{"This":[0],"study":[1],"aims":[2],"to":[3,6,87,122,141],"determine":[4],"how":[5],"deal":[7],"with":[8,21],"the":[9,47,54,63,66,72,75,81,89,92,100,106,111,116,123,128,143,149,152,158],"identification":[10,27,48,56,73],"from":[11],"input":[12,93],"and":[13,23,42,71,94,110,115],"output":[14,95],"data":[15,96],"of":[16,29,65,69,74,77,91,97,145,151],"switched":[17,37,67,117],"linear":[18],"systems":[19],"(SLSs)":[20],"Box":[22],"Jenkins":[24],"models.":[25],"The":[26],"difficulties":[28],"this":[30],"system":[31],"are":[32],"that":[33],"there":[34],"exist":[35],"unknown":[36,39],"signal,":[38],"middle":[40],"variables,":[41],"colored":[43],"noise":[44],"terms":[45],"in":[46,59],"process.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"proposed":[55,153],"method":[57,154],"proceeds":[58],"two":[60],"stages,":[61],"including":[62],"estimation":[64],"signal":[68,118],"SLSs":[70],"parameters":[76,144],"all":[78,146],"subsystems.":[79,147],"First,":[80],"Gaussian":[82],"mixture":[83],"model":[84,130],"is":[85,103,119,139,155],"established":[86],"represent":[88],"distribution":[90],"SLSs.":[98],"Then,":[99],"posterior":[101],"probability":[102,125],"calculated":[104],"by":[105],"expectation-maximization":[107],"(EM)":[108],"algorithm":[109,138],"naive":[112],"Bayes":[113],"classifier,":[114],"estimated":[120],"according":[121],"maximum":[124],"criterion.":[126],"Next,":[127],"auxiliary":[129],"based":[131],"multi-innovation":[132],"generalized":[133],"extended":[134],"least":[135],"square":[136],"(AM-MI-GELS)":[137],"used":[140],"estimate":[142],"Finally,":[148],"effectiveness":[150],"verified":[156],"through":[157],"simulation":[159],"example.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
