{"id":"https://openalex.org/W4401386993","doi":"https://doi.org/10.1109/access.2024.3439681","title":"Distributed Filtering for Networked Stochastic Nonlinear Systems With Fading Measurements and Random Packet Dropouts","display_name":"Distributed Filtering for Networked Stochastic Nonlinear Systems With Fading Measurements and Random Packet Dropouts","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401386993","doi":"https://doi.org/10.1109/access.2024.3439681"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3439681","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439681","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3439681","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021088176","display_name":"Hao Jin","orcid":"https://orcid.org/0000-0002-2742-364X"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jin","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-2742-364X","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009376283","display_name":"Zhongkui Du","orcid":"https://orcid.org/0009-0003-1506-0276"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoqiang Du","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100743739","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0002-3979-0279"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["School of Mathematical Science, Heilongjiang University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3979-0279","affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8335,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76951412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"110260","last_page":"110272"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9959999918937683,"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/fading","display_name":"Fading","score":0.6787796020507812},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6413710117340088},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6341480016708374},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5370798110961914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5112669467926025},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5006787776947021},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4731115996837616},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4550148546695709},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4444277286529541},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.43710535764694214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37603938579559326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3554573655128479},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17434808611869812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10251966118812561}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6787796020507812},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6413710117340088},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6341480016708374},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5370798110961914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5112669467926025},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5006787776947021},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4731115996837616},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4550148546695709},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4444277286529541},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.43710535764694214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37603938579559326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3554573655128479},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17434808611869812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10251966118812561},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3439681","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439681","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:80e45df2dd684f0a90f4263e1d89f5bc","is_oa":true,"landing_page_url":"https://doaj.org/article/80e45df2dd684f0a90f4263e1d89f5bc","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":"IEEE Access, Vol 12, Pp 110260-110272 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3439681","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439681","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4151649631","display_name":null,"funder_award_id":"NSFC-61873087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4621085201","display_name":null,"funder_award_id":"22BQ89","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1977909490","https://openalex.org/W2022267786","https://openalex.org/W2063997062","https://openalex.org/W2064939225","https://openalex.org/W2065523600","https://openalex.org/W2101051269","https://openalex.org/W2153344006","https://openalex.org/W2154582734","https://openalex.org/W2158191982","https://openalex.org/W2192655208","https://openalex.org/W2268791492","https://openalex.org/W2536070911","https://openalex.org/W2538208118","https://openalex.org/W2551996492","https://openalex.org/W2559834838","https://openalex.org/W2603428934","https://openalex.org/W2754823916","https://openalex.org/W2762143181","https://openalex.org/W2810663093","https://openalex.org/W2851543567","https://openalex.org/W2951450390","https://openalex.org/W2975325889","https://openalex.org/W2976736929","https://openalex.org/W3004811186","https://openalex.org/W3007324409","https://openalex.org/W3011891958","https://openalex.org/W3196780813","https://openalex.org/W4283378256","https://openalex.org/W4313650992"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W1633787648","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"In":[0],"practical":[1],"application":[2],"scenarios,":[3],"the":[4,38,120,140,147,185,198,201],"phenomena":[5],"of":[6,41,52,82,93,119,130,177,180,187,200],"nonlinearity":[7],"and":[8,33,45,85,146,156,166,184],"missing":[9],"data":[10],"are":[11,101,159],"commonly":[12],"present":[13],"in":[14,48,174],"networked":[15,26],"multi-sensor":[16],"systems.":[17],"Therefore,":[18],"this":[19],"paper":[20],"investigates":[21],"distributed":[22,58],"filtering":[23,121,178],"problems":[24],"for":[25,68,80,90,103],"stochastic":[27],"nonlinear":[28,168],"systems":[29],"with":[30,62,192],"fading":[31,43],"measurements":[32,44,81],"random":[34,46,104],"packet":[35,105],"dropouts.":[36],"Considering":[37],"statistical":[39],"characteristics":[40],"sensors\u2019":[42],"losses":[47,106],"transmitting":[49],"state":[50,91,148],"estimates":[51,92],"their":[53],"neighbor":[54,96],"nodes,":[55],"a":[56,128],"novel":[57],"Kalman":[59,77],"filter":[60,64,73,78,88,154],"(DKF)":[61],"multiple":[63,72,153],"gains":[65,74,89,155],"is":[66,134,182,189],"proposed":[67],"each":[69],"sensor,":[70],"where":[71],"include":[75],"one":[76],"gain":[79],"sensor":[83,108,144],"itself":[84],"different":[86,95],"consensus":[87],"its":[94],"nodes.":[97,109],"Two":[98],"compensation":[99],"mechanisms":[100],"used":[102],"among":[107,143],"Based":[110],"on":[111,127],"an":[112,116,164],"inequality":[113],"scaling":[114],"method,":[115],"upper":[117],"bound":[118],"error":[122,179],"covariance":[123],"matrix":[124],"(UBFECM)":[125],"dependent":[126],"set":[129],"positive":[131],"scalar":[132,157],"parameters":[133,158],"derived,":[135],"which":[136],"can":[137],"avoid":[138],"calculating":[139],"cross-covariance":[141],"matrices":[142],"nodes":[145],"second":[149],"moment":[150],"matrix.":[151],"Furthermore,":[152],"optimized":[160],"by":[161],"minimizing":[162],"locally":[163],"UBFECM":[165],"using":[167],"optimization":[169],"methods.":[170],"The":[171],"exponential":[172],"boundedness":[173],"mean":[175],"square":[176],"DKF":[181,188,203],"proved,":[183],"performance":[186],"also":[190],"compared":[191],"local":[193],"filter.":[194],"Simulation":[195],"results":[196],"illustrate":[197],"effectiveness":[199],"presented":[202],"algorithm.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
