{"id":"https://openalex.org/W2990675166","doi":"https://doi.org/10.1080/00207721.2019.1690719","title":"Information fusion robust guaranteed cost Kalman estimators with uncertain noise variances and missing measurements","display_name":"Information fusion robust guaranteed cost Kalman estimators with uncertain noise variances and missing measurements","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2990675166","doi":"https://doi.org/10.1080/00207721.2019.1690719","mag":"2990675166"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2019.1690719","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2019.1690719","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","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/A5076240419","display_name":"Ying Zhao","orcid":"https://orcid.org/0000-0001-5693-3772"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhao","raw_affiliation_strings":["Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People\u2019s Republic of China","Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3129996945"]},{"raw_affiliation_string":"Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People's Republic of China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082721387","display_name":"Chunshan Yang","orcid":"https://orcid.org/0000-0002-8493-7428"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunshan Yang","raw_affiliation_strings":["Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People\u2019s Republic of China","Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3129996945"]},{"raw_affiliation_string":"Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People's Republic of China","institution_ids":["https://openalex.org/I3129996945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082721387"],"corresponding_institution_ids":["https://openalex.org/I3129996945"],"apc_list":null,"apc_paid":null,"fwci":3.5004,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94324039,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"50","issue":"15","first_page":"2853","last_page":"2869"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.996999979019165,"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/mathematics","display_name":"Mathematics","score":0.6610827445983887},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.5779781341552734},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5681986808776855},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5518305897712708},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5475363731384277},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5231865048408508},{"id":"https://openalex.org/keywords/diagonal-matrix","display_name":"Diagonal matrix","score":0.4945802390575409},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.48969772458076477},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4846563935279846},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4656527638435364},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41162675619125366},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.3912964463233948},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.2730315923690796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.259956419467926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.255829393863678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09478351473808289}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6610827445983887},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.5779781341552734},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5681986808776855},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5518305897712708},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5475363731384277},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5231865048408508},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.4945802390575409},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.48969772458076477},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4846563935279846},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4656527638435364},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41162675619125366},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.3912964463233948},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.2730315923690796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.259956419467926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.255829393863678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09478351473808289},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2019.1690719","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2019.1690719","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:50:y:2019:i:15:p:2853-2869","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2019.1690719","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W405321894","https://openalex.org/W1958210375","https://openalex.org/W1964566051","https://openalex.org/W1975930131","https://openalex.org/W1976300454","https://openalex.org/W1980578466","https://openalex.org/W1983953136","https://openalex.org/W2003397487","https://openalex.org/W2003595606","https://openalex.org/W2019466942","https://openalex.org/W2020968226","https://openalex.org/W2034691666","https://openalex.org/W2035501838","https://openalex.org/W2049153598","https://openalex.org/W2052178830","https://openalex.org/W2059359811","https://openalex.org/W2064183516","https://openalex.org/W2065523600","https://openalex.org/W2073382835","https://openalex.org/W2076618762","https://openalex.org/W2083081493","https://openalex.org/W2084661868","https://openalex.org/W2091739459","https://openalex.org/W2120481125","https://openalex.org/W2133893543","https://openalex.org/W2136912080","https://openalex.org/W2148234182","https://openalex.org/W2179076127","https://openalex.org/W2188876530","https://openalex.org/W2205792722","https://openalex.org/W2293807537","https://openalex.org/W2335457044","https://openalex.org/W2383890889","https://openalex.org/W2387695793","https://openalex.org/W2403278459","https://openalex.org/W2499653581","https://openalex.org/W2559660499","https://openalex.org/W2606492909","https://openalex.org/W2619836870","https://openalex.org/W2806361465","https://openalex.org/W4232078476"],"related_works":["https://openalex.org/W2509635936","https://openalex.org/W2952184814","https://openalex.org/W2525877954","https://openalex.org/W2116564195","https://openalex.org/W2151517810","https://openalex.org/W1987273209","https://openalex.org/W2065935304","https://openalex.org/W2018142823","https://openalex.org/W3183283678","https://openalex.org/W2352557028"],"abstract_inverted_index":{"For":[0],"multisensor":[1],"systems":[2],"with":[3,17,48,67,149],"uncertain":[4,18,40,53,94,137],"noise":[5,19,41,54,95,138],"variances":[6,20],"and":[7,34,75,124,165,195],"missing":[8],"measurements,":[9],"it":[10],"can":[11,142,155],"be":[12,143,157],"converted":[13,144],"into":[14,145],"one":[15],"only":[16],"by":[21,160,176],"introducing":[22],"fictitious":[23],"measurement":[24],"white":[25],"noises.":[26],"According":[27],"to":[28,108,185,191],"the":[29,45,56,86,103,111,118,132,146,161,166,177,186,193,198],"minimax":[30],"robust":[31,62],"estimation":[32],"principle":[33],"parameterisation":[35],"representation":[36],"of":[37,39,52,59,88,93,120,128,136,197],"perturbances":[38],"variances,":[42,55,96],"based":[43],"on":[44],"worst-case":[46],"system":[47,188],"conservative":[49],"upper":[50,122],"bounds":[51],"two":[57],"classes":[58],"guaranteed":[60,107,171],"cost":[61,172],"weighted":[63],"fusion":[64,78],"Kalman":[65],"estimators":[66],"matrix":[68,71,79],"weights,":[69,72,74],"diagonal":[70],"scalar":[73],"covariance":[76],"intersection":[77],"weights":[80],"are":[81,106],"presented.":[82],"One":[83],"class":[84,116],"is":[85,117,174,189],"construction":[87],"a":[89],"maximal":[90,125],"perturbance":[91,134],"region":[92,135],"in":[97],"which":[98],"for":[99],"all":[100],"admissible":[101],"perturbances,":[102],"accuracy":[104,129],"deviations":[105,130],"remain":[109],"within":[110],"prescribed":[112],"range.":[113],"The":[114,170],"other":[115],"finding":[119],"minimal":[121],"bound":[123,127],"lower":[126],"over":[131],"given":[133],"variances.":[139],"Two":[140],"problems":[141,148],"optimisation":[147],"constraints.":[150],"Their":[151],"optimal":[152],"analytical":[153],"solutions":[154],"simply":[156],"found":[158],"respectively":[159],"Lagrange":[162],"multiplier":[163],"method":[164],"linear":[167],"programme":[168],"method.":[169],"robustness":[173],"proved":[175],"Lyapunov":[178],"equation":[179],"approach.":[180],"A":[181],"simulation":[182],"example":[183],"applied":[184],"mass-spring":[187],"provided":[190],"demonstrate":[192],"correctness":[194],"effectiveness":[196],"proposed":[199],"results.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
