{"id":"https://openalex.org/W4390421940","doi":"https://doi.org/10.1109/tie.2023.3342290","title":"A Stochastic Event-Triggered Robust Unscented Kalman Filter-Based USV Parameter Estimation","display_name":"A Stochastic Event-Triggered Robust Unscented Kalman Filter-Based USV Parameter Estimation","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390421940","doi":"https://doi.org/10.1109/tie.2023.3342290"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2023.3342290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3342290","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5039947829","display_name":"Han Shen","orcid":"https://orcid.org/0000-0003-3461-1603"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Shen","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3461-1603","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040088510","display_name":"Guanghui Wen","orcid":"https://orcid.org/0000-0003-0070-8597"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Wen","raw_affiliation_strings":["Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0070-8597","affiliations":[{"raw_affiliation_string":"Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021516964","display_name":"Yuezu Lv","orcid":"https://orcid.org/0000-0002-7757-9028"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuezu Lv","raw_affiliation_strings":["Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7757-9028","affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011458778","display_name":"Jialing Zhou","orcid":"https://orcid.org/0000-0002-3979-1458"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialing Zhou","raw_affiliation_strings":["Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3979-1458","affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5598,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94305466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"71","issue":"9","first_page":"11272","last_page":"11282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9950000047683716,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/kalman-filter","display_name":"Kalman filter","score":0.8110542297363281},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6246533393859863},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6092453598976135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963190197944641},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.548687219619751},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5452519059181213},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5311300754547119},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5118917226791382},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5056049823760986},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4513324201107025},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.44117239117622375},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.432311475276947},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4145069718360901},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.412835955619812},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.3036402463912964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2099810242652893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20487967133522034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15978875756263733},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.11683791875839233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0754287838935852}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8110542297363281},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6246533393859863},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6092453598976135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963190197944641},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.548687219619751},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5452519059181213},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5311300754547119},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5118917226791382},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5056049823760986},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4513324201107025},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.44117239117622375},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.432311475276947},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4145069718360901},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.412835955619812},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.3036402463912964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2099810242652893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20487967133522034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15978875756263733},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.11683791875839233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0754287838935852},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2023.3342290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3342290","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2843151570","display_name":null,"funder_award_id":"62325304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5060958647","display_name":null,"funder_award_id":"62073079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8967878662","display_name":null,"funder_award_id":"U22B2046","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":24,"referenced_works":["https://openalex.org/W2012526720","https://openalex.org/W2062100941","https://openalex.org/W2095376999","https://openalex.org/W2123487311","https://openalex.org/W2125794835","https://openalex.org/W2135780470","https://openalex.org/W2165519686","https://openalex.org/W2490662969","https://openalex.org/W2506108746","https://openalex.org/W2728749052","https://openalex.org/W2749496335","https://openalex.org/W2897830955","https://openalex.org/W2944846513","https://openalex.org/W2963134661","https://openalex.org/W2963139193","https://openalex.org/W3027249705","https://openalex.org/W3037008193","https://openalex.org/W3037669777","https://openalex.org/W3087098021","https://openalex.org/W4214950300","https://openalex.org/W4221031963","https://openalex.org/W4282974824","https://openalex.org/W4293731262","https://openalex.org/W4376481131"],"related_works":["https://openalex.org/W2350305363","https://openalex.org/W3086876622","https://openalex.org/W4206622494","https://openalex.org/W4206024512","https://openalex.org/W2917624112","https://openalex.org/W2370718670","https://openalex.org/W3080167830","https://openalex.org/W2099544223","https://openalex.org/W2390558238","https://openalex.org/W2368128009"],"abstract_inverted_index":{"This":[0],"article":[1],"aims":[2],"to":[3,60,80,99],"address":[4],"the":[5,31,62,67,81,85,88,94,101,109,117,121,126,129],"remote":[6,77],"estimation":[7,56,104,113],"of":[8,16,54,64,84,111,123,128],"states":[9],"and":[10,25,35,72,106],"model":[11,70],"parameters":[12,24,74],"for":[13],"a":[14,51,76],"class":[15,53],"unmanned":[17],"surface":[18],"vehicle":[19],"(USVs)":[20],"with":[21,40,120],"unknown":[22,41],"noise":[23,73],"stochastic":[26],"event-triggered":[27,118,131],"communication":[28,107],"mechanism.":[29],"Specifically,":[30],"heavy-tailed":[32],"process":[33],"noises":[34,39],"Gaussian":[36],"distributed":[37],"measurement":[38],"covariance":[42],"matrices":[43],"are":[44],"considered.":[45],"By":[46],"utilizing":[47],"variational":[48],"Bayesian":[49],"technique,":[50],"new":[52],"online":[55],"approach":[57],"is":[58,91,114,136],"developed":[59],"achieve":[61],"goal":[63],"jointly":[65],"estimating":[66],"states,":[68],"USV":[69],"parameters,":[71],"in":[75],"manner.":[78],"Due":[79],"inherent":[82],"nonlinearity":[83],"augmented":[86],"system,":[87],"unscented":[89,133],"transformation":[90],"incorporated":[92],"into":[93],"estimator":[95],"design.":[96],"In":[97],"addition,":[98],"balance":[100],"tradeoff":[102],"between":[103],"effectiveness":[105],"rate,":[108],"objective":[110],"joint":[112],"realized":[115],"under":[116],"mechanism":[119],"help":[122],"Gaussianity.":[124],"Finally,":[125],"performance":[127],"proposed":[130],"robust":[132],"Kalman":[134],"filter":[135],"demonstrated":[137],"by":[138],"practical":[139],"experiments":[140],"as":[141,143],"well":[142],"numerical":[144],"simulations.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
