{"id":"https://openalex.org/W3136131021","doi":"https://doi.org/10.1109/tcyb.2021.3062641","title":"Distributed Robust Kalman Filtering for Markov Jump Systems With Measurement Loss of Unknown Probabilities","display_name":"Distributed Robust Kalman Filtering for Markov Jump Systems With Measurement Loss of Unknown Probabilities","publication_year":2021,"publication_date":"2021-03-19","ids":{"openalex":"https://openalex.org/W3136131021","doi":"https://doi.org/10.1109/tcyb.2021.3062641","mag":"3136131021","pmid":"https://pubmed.ncbi.nlm.nih.gov/33739928"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3062641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3062641","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101660975","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-8744-7785"},"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":"Hui Li","raw_affiliation_strings":["Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8744-7785","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755599","display_name":"Liping Yan","orcid":"https://orcid.org/0000-0002-1689-2686"},"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":"Liping Yan","raw_affiliation_strings":["Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1689-2686","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064231378","display_name":"Yuanqing Xia","orcid":"https://orcid.org/0000-0002-5977-4911"},"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":"Yuanqing Xia","raw_affiliation_strings":["Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5977-4911","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":4.1707,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94816133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"52","issue":"10","first_page":"10151","last_page":"10162"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.991100013256073,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.987500011920929,"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/kalman-filter","display_name":"Kalman filter","score":0.8102982044219971},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.6283786296844482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6030954718589783},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.5966305136680603},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5540164113044739},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.5178790092468262},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4940538704395294},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.47486281394958496},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4646657705307007},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4593416154384613},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4587472081184387},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.35993170738220215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3589523732662201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24127686023712158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16533896327018738},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14157286286354065}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8102982044219971},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.6283786296844482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6030954718589783},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.5966305136680603},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5540164113044739},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.5178790092468262},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4940538704395294},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.47486281394958496},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4646657705307007},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4593416154384613},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4587472081184387},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.35993170738220215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3589523732662201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24127686023712158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16533896327018738},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14157286286354065},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3062641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3062641","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33739928","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33739928","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1182527359","display_name":null,"funder_award_id":"62073036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4450370867","display_name":null,"funder_award_id":"4202071","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1963570735","https://openalex.org/W2011403208","https://openalex.org/W2024522552","https://openalex.org/W2117397690","https://openalex.org/W2133018951","https://openalex.org/W2137345842","https://openalex.org/W2144910638","https://openalex.org/W2145122884","https://openalex.org/W2153344006","https://openalex.org/W2607144163","https://openalex.org/W2732304043","https://openalex.org/W2765737149","https://openalex.org/W2773970486","https://openalex.org/W2802343782","https://openalex.org/W2833602261","https://openalex.org/W2838878145","https://openalex.org/W2884043659","https://openalex.org/W2914726464","https://openalex.org/W2921508228","https://openalex.org/W2941591697","https://openalex.org/W2951782192","https://openalex.org/W2963922893","https://openalex.org/W2963972845","https://openalex.org/W2964168648","https://openalex.org/W2966236347","https://openalex.org/W2986773206","https://openalex.org/W3000449132","https://openalex.org/W3004811186","https://openalex.org/W3107889562"],"related_works":["https://openalex.org/W3190919334","https://openalex.org/W4206024512","https://openalex.org/W2263628162","https://openalex.org/W4386026724","https://openalex.org/W2491009754","https://openalex.org/W4324121876","https://openalex.org/W4221126147","https://openalex.org/W2377206439","https://openalex.org/W2150837402","https://openalex.org/W2182059946"],"abstract_inverted_index":{"This":[0],"article":[1],"is":[2,26,69],"concerned":[3],"with":[4,18],"a":[5,34,46,57],"distributed":[6,47,86],"filtering":[7],"problem":[8],"for":[9,84],"Markov":[10],"jump":[11],"systems":[12],"subject":[13],"to":[14],"the":[15,53,74,78,85],"measurement":[16,65],"loss":[17],"unknown":[19],"probabilities.":[20],"A":[21],"centralized":[22,54],"robust":[23,48,87],"Kalman":[24,49,88],"filter":[25,50,55],"designed":[27],"by":[28],"using":[29],"variational":[30],"Bayesian":[31],"methods":[32],"and":[33,56,66,77],"modified":[35],"interacting":[36],"multiple":[37],"model":[38],"method":[39,60],"based":[40,51],"on":[41,52,64],"information":[42,67],"theory":[43],"(IT-IMM).":[44],"Then,":[45],"hybrid":[58,62],"consensus":[59,63],"called":[61],"(HCMCI)":[68],"designed.":[70],"Moreover,":[71],"boundedness":[72],"of":[73],"estimation":[75,79],"errors":[76],"error":[80],"covariances":[81],"are":[82],"studied":[83],"filter.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}