{"id":"https://openalex.org/W2959238118","doi":"https://doi.org/10.1177/1550147719862217","title":"Gauss process state-space model optimization algorithm with expectation maximization","display_name":"Gauss process state-space model optimization algorithm with expectation maximization","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2959238118","doi":"https://doi.org/10.1177/1550147719862217","mag":"2959238118"},"language":"en","primary_location":{"id":"doi:10.1177/1550147719862217","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719862217","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/1550147719862217","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101594557","display_name":"Hongqiang Liu","orcid":"https://orcid.org/0000-0003-2897-8134"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqiang Liu","raw_affiliation_strings":["PLA Air Force Aviation University, Changchun, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Air Force Aviation University, Changchun, P.R. China","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725026","display_name":"Haiyan Yang","orcid":"https://orcid.org/0000-0001-5120-8707"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Yang","raw_affiliation_strings":["Air Force Engineering University, Xi\u2019an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0001-5120-8707","affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375792","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-2980-6281"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Air Force Engineering University, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101778538","display_name":"Bo Pan","orcid":"https://orcid.org/0000-0001-8954-399X"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Pan","raw_affiliation_strings":["Air Force Engineering University, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100725026"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.133,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47287186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":"7","first_page":"155014771986221","last_page":"155014771986221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9912999868392944,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6456915140151978},{"id":"https://openalex.org/keywords/gauss","display_name":"Gauss","score":0.6219221949577332},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5481045246124268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5416392087936401},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5195653438568115},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5170919895172119},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.49277833104133606},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4332357347011566},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4224962592124939},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4113457202911377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.290253221988678},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.0730208158493042},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06869259476661682}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6456915140151978},{"id":"https://openalex.org/C161794534","wikidata":"https://www.wikidata.org/wiki/Q177493","display_name":"Gauss","level":2,"score":0.6219221949577332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5481045246124268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5416392087936401},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5195653438568115},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5170919895172119},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.49277833104133606},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4332357347011566},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4224962592124939},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4113457202911377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.290253221988678},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0730208158493042},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06869259476661682},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1550147719862217","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719862217","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719862217","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147719862217","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:4daffa64ab5c41be8153583fc34887d3","is_oa":true,"landing_page_url":"https://doaj.org/article/4daffa64ab5c41be8153583fc34887d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 15 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147719862217","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719862217","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7397694248","display_name":"\u57fa\u4e8e\u52a8\u6001\u8d1d\u53f6\u65af\u7f51\u7edc\u7684\u7a7a\u5929\u6001\u52bf\u8bc4\u4f30\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472441","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1985690171","https://openalex.org/W1994005439","https://openalex.org/W2003967703","https://openalex.org/W2007692097","https://openalex.org/W2037799844","https://openalex.org/W2051247543","https://openalex.org/W2098946742","https://openalex.org/W2130242703","https://openalex.org/W2134469667","https://openalex.org/W2136111243","https://openalex.org/W2495248262","https://openalex.org/W2524332780","https://openalex.org/W2570958925","https://openalex.org/W2604331540","https://openalex.org/W2616559060","https://openalex.org/W3103503690","https://openalex.org/W4214740783","https://openalex.org/W4232464081","https://openalex.org/W4365799809"],"related_works":["https://openalex.org/W2358906198","https://openalex.org/W2069836761","https://openalex.org/W182453952","https://openalex.org/W4388059796","https://openalex.org/W2388074670","https://openalex.org/W2037356416","https://openalex.org/W1976188970","https://openalex.org/W2990541822","https://openalex.org/W1588885902","https://openalex.org/W1965352811"],"abstract_inverted_index":{"A":[0],"Gauss":[1,25,40,56,71,115,122,131,176,195],"process":[2,26,41,57,72,123,132,177,196],"state-space":[3,27,58,73,133,178,197,214],"model":[4,28,59,74,134,179,198],"trained":[5,199],"in":[6,15,66,136,139,146,188,200],"a":[7,12,16,23,51,70,109],"laboratory":[8],"cannot":[9],"accurately":[10],"simulate":[11,185],"nonlinear":[13],"system":[14,89,187],"non-laboratory":[17,190],"environment.":[18],"To":[19],"solve":[20],"this":[21,137],"problem,":[22],"novel":[24],"optimization":[29,75],"algorithm":[30,37,80,119,126],"is":[31,60,63,81,91,104,158],"proposed":[32,128],"by":[33,181],"combining":[34],"the":[35,39,47,55,78,84,87,94,98,114,121,130,143,147,152,162,166,175,182,186,189,194,201,208,212],"expectation\u2013maximization":[36,79,85],"with":[38,77,129],"Rauch\u2013Tung\u2013Striebel":[42,124],"smoother":[43,125],"algorithm,":[44,86],"that":[45,107,174],"is,":[46],"EM-GP-RTSS":[48,183],"algorithm.":[49],"First,":[50],"theoretical":[52],"formulation":[53],"of":[54,100,108,165,211],"proposed,":[61],"which":[62],"not":[64],"found":[65],"previous":[67],"references.":[68],"Second,":[69],"framework":[76],"proposed.":[82],"In":[83],"unknown":[88],"state":[90],"considered":[92],"as":[93],"lost":[95],"data,":[96],"and":[97,120,203],"maximization":[99],"measurement":[101],"likelihood":[102],"function":[103],"transformed":[105],"into":[106],"conditional":[110,148,167],"expectation":[111,149,168],"function.":[112,150,169],"Then,":[113],"process\u2013assumed":[116],"density":[117],"filter":[118],"are":[127],"defined":[135],"article,":[138],"order":[140],"to":[141,160],"calculate":[142],"smoothed":[144],"distribution":[145],"Finally,":[151],"Monte":[153],"Carlo":[154],"numerical":[155],"integral":[156],"method":[157],"used":[159],"obtain":[161],"approximate":[163],"expression":[164],"The":[170],"simulation":[171],"results":[172],"demonstrate":[173],"optimized":[180],"can":[184,204],"environment":[191],"better":[192],"than":[193],"laboratory,":[202],"reach":[205],"or":[206],"exceed":[207],"estimation":[209],"accuracy":[210],"traditional":[213],"model.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
