{"id":"https://openalex.org/W4386634213","doi":"https://doi.org/10.1109/taes.2023.3314707","title":"Scalable Distributed Data-Driven State Estimation Algorithm via Gaussian Processes With Guaranteed Stability","display_name":"Scalable Distributed Data-Driven State Estimation Algorithm via Gaussian Processes With Guaranteed Stability","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4386634213","doi":"https://doi.org/10.1109/taes.2023.3314707"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2023.3314707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3314707","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5100608388","display_name":"Xingkai Yu","orcid":"https://orcid.org/0000-0002-7422-7406"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingkai Yu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China","Department of Precision Instrument, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7422-7406","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961643","display_name":"X. Sun","orcid":"https://orcid.org/0009-0008-7723-3490"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzheng Sun","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-7723-3490","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083135905","display_name":"Jianxun Li","orcid":"https://orcid.org/0000-0002-6347-6677"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Li","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6347-6677","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100608388"],"corresponding_institution_ids":["https://openalex.org/I153473198","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8967,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74503482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"59","issue":"6","first_page":"9191","last_page":"9204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9965000152587891,"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":0.9965000152587891,"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":0.9873999953269958,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9602000117301941,"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/robustness","display_name":"Robustness (evolution)","score":0.6740326881408691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697112917900085},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6353534460067749},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6326390504837036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5324334502220154},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.511769711971283},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48520591855049133},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4710131883621216},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.43537116050720215},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.43283769488334656},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4264680743217468},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34555327892303467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27331504225730896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1981334090232849},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1474590003490448},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09484800696372986}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6740326881408691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697112917900085},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6353534460067749},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6326390504837036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5324334502220154},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.511769711971283},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48520591855049133},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4710131883621216},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.43537116050720215},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.43283769488334656},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4264680743217468},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34555327892303467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27331504225730896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1981334090232849},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1474590003490448},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09484800696372986},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2023.3314707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3314707","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2323879031","display_name":null,"funder_award_id":"62103222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4672874811","display_name":null,"funder_award_id":"2023MS030","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6368830644","display_name":null,"funder_award_id":"61673265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8533081567","display_name":null,"funder_award_id":"2020YFC1512203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"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":66,"referenced_works":["https://openalex.org/W1545211435","https://openalex.org/W1585754671","https://openalex.org/W1990304174","https://openalex.org/W2015654075","https://openalex.org/W2024522552","https://openalex.org/W2026717988","https://openalex.org/W2040134986","https://openalex.org/W2065860562","https://openalex.org/W2069871789","https://openalex.org/W2085339032","https://openalex.org/W2092074494","https://openalex.org/W2098946742","https://openalex.org/W2099175737","https://openalex.org/W2104130465","https://openalex.org/W2107396783","https://openalex.org/W2124609748","https://openalex.org/W2130343868","https://openalex.org/W2134469667","https://openalex.org/W2145122884","https://openalex.org/W2146702612","https://openalex.org/W2152842312","https://openalex.org/W2155676512","https://openalex.org/W2160643434","https://openalex.org/W2162717641","https://openalex.org/W2166566250","https://openalex.org/W2278171434","https://openalex.org/W2412691628","https://openalex.org/W2788084076","https://openalex.org/W2793832797","https://openalex.org/W2795834183","https://openalex.org/W2910908131","https://openalex.org/W2947390390","https://openalex.org/W2949060325","https://openalex.org/W2950924736","https://openalex.org/W2962789549","https://openalex.org/W2963160885","https://openalex.org/W2963779771","https://openalex.org/W2963850091","https://openalex.org/W2996213953","https://openalex.org/W3081453044","https://openalex.org/W3087464462","https://openalex.org/W3125256471","https://openalex.org/W3204463990","https://openalex.org/W4200630368","https://openalex.org/W4210596710","https://openalex.org/W4211049957","https://openalex.org/W4287891017","https://openalex.org/W4294732281","https://openalex.org/W4306673018","https://openalex.org/W4390025112","https://openalex.org/W6601498747","https://openalex.org/W6629868721","https://openalex.org/W6632908801","https://openalex.org/W6637338928","https://openalex.org/W6637968757","https://openalex.org/W6640000427","https://openalex.org/W6677658955","https://openalex.org/W6677959772","https://openalex.org/W6681154564","https://openalex.org/W6690827749","https://openalex.org/W6695061060","https://openalex.org/W6729760243","https://openalex.org/W6738492492","https://openalex.org/W6763216130","https://openalex.org/W6788843682","https://openalex.org/W6791487080"],"related_works":["https://openalex.org/W4300066510","https://openalex.org/W1971337326","https://openalex.org/W4213259725","https://openalex.org/W2056958800","https://openalex.org/W4311388919","https://openalex.org/W1964490787","https://openalex.org/W2060696366","https://openalex.org/W2154788797","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"In":[0,56],"this":[1],"article,":[2],"we":[3,63,95,120,148,162],"focus":[4],"on":[5,91,111,116,158],"the":[6,23,29,33,38,44,60,71,106,117,134,151,164,169,186,189],"scalable":[7],"distributed":[8,54,123,171],"data-driven":[9,24,50,194],"state":[10,124,130,135,159,172,195],"estimation":[11,125,136,173,196],"problem":[12],"using":[13,175],"Gaussian":[14],"processes":[15],"(GPs).":[16],"The":[17],"framework":[18],"includes":[19],"two":[20],"parts:":[21],"1)":[22],"training":[25,51,61,118,191],"approach":[26],"and":[27,40,139,141,166,179,193],"2)":[28],"state-estimation":[30],"architecture.":[31],"First,":[32],"objective":[34],"is":[35],"to":[36,58,88,127,155,184],"obtain":[37],"transition":[39],"measurement":[41],"functions":[42],"of":[43,168,188],"considered":[45],"state-space":[46],"model":[47],"by":[48,174],"a":[49,97,122],"strategy":[52],"via":[53],"GPs.":[55],"particular,":[57],"improve":[59],"efficiency,":[62],"employ":[64],"an":[65],"online":[66],"conditioning":[67],"algorithm,":[68,102],"which":[69,103],"reduces":[70],"computational":[72],"burden":[73],"significantly.":[74],"Then,":[75],"all":[76],"nodes":[77],"exchange":[78],"their":[79,84,145],"own":[80],"trained":[81,93],"GPs":[82],"with":[83,144],"respective":[85],"neighbors.":[86],"Furthermore,":[87],"achieve":[89,156],"consensus":[90,101,110,157],"local":[92],"GPs,":[94],"propose":[96,121],"Wasserstein":[98,152],"weighted":[99,153],"average":[100,109,154],"differs":[104],"from":[105],"current":[107],"Kullback\u2013Leibler":[108],"probability":[112],"densities.":[113],"Second,":[114],"based":[115],"results,":[119],"algorithm":[126],"perform":[128],"fresh":[129],"estimation.":[131],"After":[132],"obtaining":[133],"results":[137],"(mean":[138],"covariance)":[140],"exchanging":[142],"them":[143],"neighboring":[146],"nodes,":[147],"then":[149],"execute":[150],"estimations.":[160],"Also,":[161],"analyze":[163],"stability":[165],"robustness":[167],"proposed":[170,190],"GP.":[176],"Finally,":[177],"numerical":[178],"real-world":[180],"examples":[181],"are":[182],"provided":[183],"validate":[185],"effectiveness":[187],"method":[192],"algorithms.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}