{"id":"https://openalex.org/W7147241989","doi":"https://doi.org/10.1109/jas.2025.125825","title":"State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning","display_name":"State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7147241989","doi":"https://doi.org/10.1109/jas.2025.125825"},"language":null,"primary_location":{"id":"doi:10.1109/jas.2025.125825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2025.125825","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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":null,"display_name":"Shuang Gao","orcid":"https://orcid.org/0000-0001-8515-1905"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Gao","raw_affiliation_strings":["Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122"],"raw_orcid":"https://orcid.org/0000-0001-8515-1905","affiliations":[{"raw_affiliation_string":"Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoli Luan","orcid":"https://orcid.org/0000-0002-4805-1726"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Luan","raw_affiliation_strings":["Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122"],"raw_orcid":"https://orcid.org/0000-0002-4805-1726","affiliations":[{"raw_affiliation_string":"Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125674264","display_name":"Biao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["University of Alberta,Department of Chemical and Materials Engineering,Edmonton,Canada,T6G 1H9"],"raw_orcid":"https://orcid.org/0000-0001-9082-2216","affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Chemical and Materials Engineering,Edmonton,Canada,T6G 1H9","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023417619","display_name":"Shunyi Zhao","orcid":"https://orcid.org/0000-0001-5363-8305"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunyi Zhao","raw_affiliation_strings":["Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122"],"raw_orcid":"https://orcid.org/0000-0001-5363-8305","affiliations":[{"raw_affiliation_string":"Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132545172","display_name":"Fei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122"],"raw_orcid":"https://orcid.org/0000-0001-8279-6839","affiliations":[{"raw_affiliation_string":"Institute of Automation, Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Wuxi,China,214122","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.1051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97879614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"715","last_page":"727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.18029999732971191,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.18029999732971191,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.12349999696016312,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.06790000200271606,"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/estimator","display_name":"Estimator","score":0.5867000222206116},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5723000168800354},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5088000297546387},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4867999851703644},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47620001435279846},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.47049999237060547},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4471000134944916},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.42809998989105225}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5723000168800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547999739646912},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5088000297546387},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4867999851703644},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3783999979496002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.365200012922287},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.3370000123977661},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3034999966621399},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C86426650","wikidata":"https://www.wikidata.org/wiki/Q7452504","display_name":"Sequential estimation","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2025.125825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2025.125825","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1985740198","display_name":null,"funder_award_id":"2025M771693","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2820334165","display_name":null,"funder_award_id":"JUSRP202501067","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3749136595","display_name":null,"funder_award_id":"62503201","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1966593585","https://openalex.org/W2008932592","https://openalex.org/W2014378975","https://openalex.org/W2055213544","https://openalex.org/W2063695849","https://openalex.org/W2071855385","https://openalex.org/W2092465096","https://openalex.org/W2097009900","https://openalex.org/W2101463793","https://openalex.org/W2103632679","https://openalex.org/W2110170799","https://openalex.org/W2117397690","https://openalex.org/W2123380888","https://openalex.org/W2134034495","https://openalex.org/W2136706794","https://openalex.org/W2137345842","https://openalex.org/W2148058527","https://openalex.org/W2159554537","https://openalex.org/W2165698076","https://openalex.org/W2258949463","https://openalex.org/W2344154382","https://openalex.org/W2462471752","https://openalex.org/W2565879408","https://openalex.org/W2593457778","https://openalex.org/W2773192101","https://openalex.org/W2782304201","https://openalex.org/W2802121951","https://openalex.org/W2942091291","https://openalex.org/W2964314726","https://openalex.org/W2980012258","https://openalex.org/W2993595083","https://openalex.org/W3022889188","https://openalex.org/W3041133507","https://openalex.org/W3201459702","https://openalex.org/W3203294349","https://openalex.org/W3208501119","https://openalex.org/W4256688892","https://openalex.org/W4300818585","https://openalex.org/W4311404181","https://openalex.org/W4311975116","https://openalex.org/W4312816360","https://openalex.org/W4322109841","https://openalex.org/W4402298764"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,64,117],"novel":[4],"approach":[5,78],"to":[6,93,131,148],"address":[7],"parameter":[8,40,141],"uncertainties":[9],"for":[10,158],"state":[11,87,128,135],"estimation":[12,44,136,150],"in":[13,46,109,152],"Markovian":[14],"jump":[15],"linear":[16],"systems":[17],"by":[18],"leveraging":[19],"transfer":[20],"learning.":[21],"Assume":[22],"that":[23],"the":[24,33,47,50,57,71,81,90,94,99,110,123,126,132],"source":[25,58,91],"domain":[26,35,59,73,92,96],"model":[27,36,39,54],"is":[28],"available":[29],"and":[30,32,60,97,116],"reliable,":[31],"target":[34,48,72,95,111],"has":[37],"significant":[38],"uncertainties.":[41,142],"To":[42],"enhance":[43],"performance":[45],"domain,":[49],"proposed":[51,127],"method":[52],"transfers":[53],"knowledge":[55],"from":[56,89],"adjusts":[61],"it":[62,69],"using":[63,107],"tuning":[65,100],"factor":[66,101],"before":[67],"incorporating":[68],"into":[70],"estimator.":[74],"More":[75],"specifically,":[76],"this":[77],"involves":[79],"transferring":[80],"modified":[82],"probability":[83],"density":[84],"functions":[85],"of":[86,125],"prediction":[88],"determining":[98],"via":[102],"structure":[103],"variational":[104],"Bayesian":[105],"inference":[106],"measurements":[108],"domain.":[112],"Using":[113],"numerical":[114],"examples":[115],"1-DOF":[118],"torsion":[119],"system,":[120],"we":[121],"showcase":[122],"competitiveness":[124],"estimator":[129],"compared":[130],"existing":[133],"robust":[134],"methods":[137],"when":[138],"dealing":[139],"with":[140],"The":[143],"results":[144],"highlight":[145],"its":[146,156],"capability":[147],"improve":[149],"accuracy":[151],"practical":[153],"scenarios,":[154],"showcasing":[155],"potential":[157],"real-world":[159],"applications.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}