{"id":"https://openalex.org/W3196962087","doi":"https://doi.org/10.3390/s21175864","title":"Design Method for a Higher Order Extended Kalman Filter Based on Maximum Correlation Entropy and a Taylor Network System","display_name":"Design Method for a Higher Order Extended Kalman Filter Based on Maximum Correlation Entropy and a Taylor Network System","publication_year":2021,"publication_date":"2021-08-31","ids":{"openalex":"https://openalex.org/W3196962087","doi":"https://doi.org/10.3390/s21175864","mag":"3196962087","pmid":"https://pubmed.ncbi.nlm.nih.gov/34502754"},"language":"en","primary_location":{"id":"doi:10.3390/s21175864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175864","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5864/pdf?version=1634883516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/17/5864/pdf?version=1634883516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079360735","display_name":"Qiupeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiupeng Wang","raw_affiliation_strings":["School of HDU-ITMO, Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of HDU-ITMO, Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769043","display_name":"Xiaohui Sun","orcid":"https://orcid.org/0000-0002-9683-4215"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Sun","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086718724","display_name":"Chenglin Wen","orcid":"https://orcid.org/0000-0003-2471-2849"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenglin Wen","raw_affiliation_strings":["School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China","institution_ids":["https://openalex.org/I4210128140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086718724"],"corresponding_institution_ids":["https://openalex.org/I4210128140"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.6908,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86867572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"17","first_page":"5864","last_page":"5864"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.715194821357727},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6091198325157166},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5796009302139282},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5655878782272339},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.5454843044281006},{"id":"https://openalex.org/keywords/state-variable","display_name":"State variable","score":0.5143202543258667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4741125702857971},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.45688942074775696},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4566026031970978},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.437065452337265},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.42437493801116943},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4132475256919861},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4103505611419678},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3527483344078064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35025665163993835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1548578143119812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14797332882881165},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.10742929577827454}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.715194821357727},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6091198325157166},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5796009302139282},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5655878782272339},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.5454843044281006},{"id":"https://openalex.org/C129537906","wikidata":"https://www.wikidata.org/wiki/Q7603913","display_name":"State variable","level":2,"score":0.5143202543258667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4741125702857971},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.45688942074775696},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4566026031970978},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.437065452337265},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.42437493801116943},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4132475256919861},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4103505611419678},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3527483344078064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35025665163993835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1548578143119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14797332882881165},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.10742929577827454},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21175864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175864","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5864/pdf?version=1634883516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34502754","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34502754","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:05d660e9d958493590571b503cf50ff7","is_oa":true,"landing_page_url":"https://doaj.org/article/05d660e9d958493590571b503cf50ff7","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":"Sensors, Vol 21, Iss 17, p 5864 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/17/5864/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21175864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 17; Pages: 5864","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8434207","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8434207","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21175864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175864","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5864/pdf?version=1634883516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5072116287","display_name":null,"funder_award_id":"U1509203","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G5659945949","display_name":null,"funder_award_id":"61933013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6236855828","display_name":null,"funder_award_id":"61751304","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"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196962087.pdf","grobid_xml":"https://content.openalex.org/works/W3196962087.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W850051531","https://openalex.org/W2105934661","https://openalex.org/W2114714448","https://openalex.org/W2121990344","https://openalex.org/W2160337655","https://openalex.org/W2316227118","https://openalex.org/W2551561088","https://openalex.org/W2553413742","https://openalex.org/W2560193996","https://openalex.org/W2615682953","https://openalex.org/W2770746583","https://openalex.org/W2770764691","https://openalex.org/W2915553670","https://openalex.org/W2939782824","https://openalex.org/W2963134661","https://openalex.org/W2963195996","https://openalex.org/W3006618786","https://openalex.org/W3155763767","https://openalex.org/W3169892122"],"related_works":["https://openalex.org/W1035502194","https://openalex.org/W4206024512","https://openalex.org/W2164404293","https://openalex.org/W2053335193","https://openalex.org/W4300476109","https://openalex.org/W2772311278","https://openalex.org/W4205759170","https://openalex.org/W2354299011","https://openalex.org/W4385993860","https://openalex.org/W4302337189"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"one":[3],"new":[4,185,195],"design":[5],"method":[6],"for":[7],"a":[8,21,27,49,55,139,184],"higher":[9,68,117,186],"order":[10,69,118,187],"extended":[11,133,188],"Kalman":[12,180,189],"filter":[13,181,196],"based":[14,104],"on":[15,105],"combining":[16,142],"maximum":[17,175],"correlation":[18,176],"entropy":[19],"with":[20,32,54],"Taylor":[22,64],"network":[23],"system":[24,31,59],"to":[25,100,182],"create":[26],"nonlinear":[28,50],"random":[29,51,150,166],"dynamic":[30,52,151],"modeling":[33,167],"errors":[34],"and":[35,43,76,94,112,138,144,178],"unknown":[36],"statistical":[37],"properties.":[38],"Firstly,":[39],"the":[40,62,67,72,85,88,91,95,101,106,109,113,127,147,158,161,165,171,174,179,194],"transfer":[41],"function":[42,45],"measurement":[44,77,96,140],"are":[46,79,98,121],"transformed":[47,73],"into":[48],"model":[53,75,78,93,97,103,137,141],"polynomial":[56],"form":[57],"via":[58,146],"identification":[60],"through":[61],"multidimensional":[63],"network.":[65],"Secondly,":[66],"polynomials":[70],"in":[71],"state":[74,92,136,143],"defined":[80],"as":[81,123,154],"implicit":[82],"variables":[83,120],"of":[84,108,126,160,164,173,193],"system.":[86],"At":[87],"same":[89],"time,":[90],"equivalent":[99],"pseudolinear":[102],"combination":[107,172],"original":[110],"variable":[111],"hidden":[114,119],"variable.":[115],"Thirdly,":[116],"treated":[122],"additive":[124],"parameters":[125,145],"system;":[128],"then,":[129],"we":[130,155,169],"establish":[131,183],"an":[132],"dimensional":[134],"linear":[135],"previously":[148],"used":[149],"model.":[152],"Finally,":[153],"only":[156],"know":[157],"results":[159],"limited":[162],"sampling":[163],"error,":[168],"use":[170],"estimator":[177],"filter.":[190],"The":[191],"effectiveness":[192],"is":[197],"verified":[198],"by":[199],"digital":[200],"simulation.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}