{"id":"https://openalex.org/W2805237486","doi":"https://doi.org/10.1109/lcsys.2018.2841937","title":"Impact of Time Correlated Mode Mismatch on Markov Jump Linear System State Estimation","display_name":"Impact of Time Correlated Mode Mismatch on Markov Jump Linear System State Estimation","publication_year":2018,"publication_date":"2018-05-29","ids":{"openalex":"https://openalex.org/W2805237486","doi":"https://doi.org/10.1109/lcsys.2018.2841937","mag":"2805237486"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2018.2841937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2018.2841937","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","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/A5101905419","display_name":"Wenji Zhang","orcid":"https://orcid.org/0000-0002-8833-4480"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenji Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003778401","display_name":"Balasubramaniam Natarajan","orcid":"https://orcid.org/0000-0001-6429-9003"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balasubramaniam Natarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101905419"],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66275286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"3","first_page":"489","last_page":"494"},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.9986000061035156,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.996999979019165,"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":0.7638676166534424},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7289684414863586},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.6197931170463562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190175414085388},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.4781126379966736},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.47388356924057007},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46788114309310913},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4245249927043915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.339061439037323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13481023907661438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07855203747749329},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07616975903511047}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7638676166534424},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7289684414863586},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.6197931170463562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190175414085388},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.4781126379966736},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.47388356924057007},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46788114309310913},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4245249927043915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.339061439037323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13481023907661438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07855203747749329},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07616975903511047},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":1,"locations":[{"id":"doi:10.1109/lcsys.2018.2841937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2018.2841937","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1489726963","https://openalex.org/W1490978409","https://openalex.org/W1542280461","https://openalex.org/W1646998587","https://openalex.org/W1827189078","https://openalex.org/W1972805379","https://openalex.org/W1974953144","https://openalex.org/W1987571991","https://openalex.org/W1991441322","https://openalex.org/W2022406843","https://openalex.org/W2045633984","https://openalex.org/W2050428100","https://openalex.org/W2074437131","https://openalex.org/W2084970142","https://openalex.org/W2086913129","https://openalex.org/W2108394498","https://openalex.org/W2117397690","https://openalex.org/W2121712307","https://openalex.org/W2137345842","https://openalex.org/W2139261773","https://openalex.org/W2141308815","https://openalex.org/W2144686180","https://openalex.org/W2145938889","https://openalex.org/W2153188087","https://openalex.org/W2159591388","https://openalex.org/W2766977429","https://openalex.org/W2886422412","https://openalex.org/W2889885995","https://openalex.org/W3022404379","https://openalex.org/W3100037161","https://openalex.org/W6676270407","https://openalex.org/W6681158678","https://openalex.org/W6683358780","https://openalex.org/W6753753949","https://openalex.org/W6754621527"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2389779607","https://openalex.org/W2389529561","https://openalex.org/W2378103478","https://openalex.org/W1974854782","https://openalex.org/W2367222340","https://openalex.org/W4310470578","https://openalex.org/W2355306692","https://openalex.org/W2392192049","https://openalex.org/W2380172021"],"abstract_inverted_index":{"State":[0],"estimation":[1],"in":[2,45,77,137,146],"Markov":[3,100,129],"jump":[4],"linear":[5],"systems":[6],"has":[7,25],"garnered":[8],"interest":[9],"for":[10,106],"decades":[11],"with":[12,125],"a":[13,29,78,99,156],"majority":[14],"of":[15,110,155],"the":[16,36,52,71,85,88,107,121,126,144,153],"proposed":[17],"strategies":[18],"relying":[19],"on":[20,143],"mode-based":[21,30,79,157],"Kalman":[22,31,80,158],"filters.":[23],"It":[24],"been":[26],"shown":[27],"that":[28],"filter":[32],"is":[33,39,55,92],"optimal":[34],"if":[35],"discrete":[37,147],"state":[38,148],"known":[40],"at":[41],"each":[42],"time.":[43],"However,":[44],"practical":[46],"applications,":[47],"there":[48],"are":[49,113,131],"situations":[50],"where":[51],"mode":[53,75,89,127],"information":[54],"inaccurate":[56],"due":[57],"to":[58,151],"communication":[59],"link":[60],"failures":[61],"or":[62],"cyber-attacks.":[63],"This":[64],"letter":[65,139],"addresses":[66],"this":[67,138],"issue":[68],"by":[69],"quantifying":[70],"bias":[72,111,118],"resulting":[73],"from":[74],"mismatches":[76],"filter.":[81,159],"Specifically,":[82],"we":[83],"consider":[84],"scenario":[86],"wherein":[87],"mismatch":[90,128],"error":[91],"correlated":[93],"across":[94],"time":[95],"and":[96,103,120],"modeled":[97],"via":[98],"chain.":[101],"Necessary":[102],"sufficient":[104],"conditions":[105],"statistical":[108],"convergence":[109],"dynamics":[112,119],"derived.":[114],"The":[115,133],"relationship":[116],"between":[117],"transition":[122],"probabilities":[123],"associated":[124],"chain":[130],"quantified.":[132],"main":[134],"results":[135],"presented":[136],"provide":[140],"new":[141],"insights":[142],"fidelity":[145],"knowledge":[149],"needed":[150],"maintain":[152],"performance":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
