{"id":"https://openalex.org/W4404317121","doi":"https://doi.org/10.1109/tim.2024.3497169","title":"Soft-Magnet-Based Position Estimation Using an Approximate Extended Kalman Filter With a Hybrid Analytical-Neural Network Model","display_name":"Soft-Magnet-Based Position Estimation Using an Approximate Extended Kalman Filter With a Hybrid Analytical-Neural Network Model","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4404317121","doi":"https://doi.org/10.1109/tim.2024.3497169"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3497169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3497169","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100561233","display_name":"Tao Wen","orcid":"https://orcid.org/0009-0008-4161-5446"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wen","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-4161-5446","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079245632","display_name":"Suqi Liu","orcid":"https://orcid.org/0000-0002-1271-0507"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suqi Liu","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1271-0507","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055704618","display_name":"Heng Wang","orcid":"https://orcid.org/0000-0002-8670-7132"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Wang","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8670-7132","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.9547,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95069983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.794561505317688},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6613784432411194},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6472803950309753},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6415480375289917},{"id":"https://openalex.org/keywords/magnet","display_name":"Magnet","score":0.5857968926429749},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5421690344810486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4663025438785553},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33461514115333557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29431837797164917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2650204300880432},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1288629174232483}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.794561505317688},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6613784432411194},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6472803950309753},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6415480375289917},{"id":"https://openalex.org/C16389437","wikidata":"https://www.wikidata.org/wiki/Q11421","display_name":"Magnet","level":2,"score":0.5857968926429749},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5421690344810486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4663025438785553},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33461514115333557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29431837797164917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2650204300880432},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1288629174232483},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3497169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3497169","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1388653113","display_name":null,"funder_award_id":"2023A1515011553","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G7103724001","display_name":null,"funder_award_id":"62203175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8128571667","display_name":null,"funder_award_id":"2024A1515010099","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"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":0,"referenced_works":[],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W4372347353","https://openalex.org/W2020144404","https://openalex.org/W2149615975","https://openalex.org/W2381426581","https://openalex.org/W2103062922","https://openalex.org/W2162299404"],"abstract_inverted_index":{"Soft-magnet":[0],"(SM)-based":[1],"position":[2,17,120,165,238],"tracking":[3,9,247],"is":[4,19,67,84,134,147,209],"a":[5,23,30,44,78,95,218,230],"new":[6],"wireless":[7],"magnetic":[8],"method":[10],"that":[11,161],"can":[12,233],"reject":[13],"ferromagnetic":[14],"disturbances.":[15],"Conventionally,":[16],"estimation":[18,56,121,239],"implemented":[20],"either":[21],"by":[22,36],"standard":[24,179,215],"extended":[25],"Kalman":[26],"filter":[27,41],"(EKF)":[28],"using":[29,43,217],"dipole-based":[31],"analytical":[32,102,132],"measurement":[33,82,139],"model":[34,83,117,146,232],"or":[35,39],"an":[37,185],"EKF":[38,107,180,216],"particle":[40],"(PF)":[42],"neural":[45,96,188,220],"network":[46,81,97,189,221],"model.":[47,190,222],"The":[48,191],"former":[49],"method,":[50],"however,":[51,200],"fails":[52,70],"to":[53,59,71,86,98,113,136,149,155,170],"achieve":[54,72,234],"satisfactory":[55],"accuracy":[57,90,122],"due":[58],"the":[60,65,88,101,115,128,131,138,143,151,162,174,178,182,196,214,225,245],"large":[61],"modeling":[62,89,103],"error,":[63],"while":[64,142],"latter":[66],"time-consuming":[68],"and":[69,91,118,123,181,236],"real-time":[73,237],"tracking.":[74],"In":[75,127,223],"this":[76],"article,":[77],"hybrid":[79,116,145,231],"analytical-neural":[80],"built":[85],"improve":[87,119],"generalization,":[92],"which":[93,176,208],"uses":[94],"compensate":[99],"for":[100,244],"error.":[104],"An":[105],"approximate":[106],"(AEKF)":[108],"framework":[109],"is,":[110,199],"furthermore,":[111],"developed":[112],"use":[114],"computational":[124],"efficiency":[125],"simultaneously.":[126],"AEKF,":[129],"only":[130,201],"part":[133],"linearized":[135],"compute":[137,150],"Jacobian":[140],"efficiently":[141],"compensated":[144],"used":[148],"innovation":[152],"(measurement":[153],"residual)":[154],"ensure":[156],"accuracy.":[157],"Experimental":[158],"results":[159],"show":[160],"root-mean-square":[163],"(rms)":[164],"error":[166],"ranges":[167],"from":[168],"2.64":[169],"5.62":[171],"mm":[172],"across":[173],"workspace,":[175],"rivals":[177],"PF":[183],"with":[184,229,241],"accurate":[186,235],"pure":[187,219],"average":[192],"update":[193],"time":[194],"of":[195],"proposed":[197,226],"algorithm":[198,228],"13.82":[202],"ms":[203],"(update":[204],"rate:":[205],"73":[206],"Hz),":[207],"three":[210],"times":[211],"faster":[212],"than":[213],"conclusion,":[224],"AEKF":[227],"simultaneously":[240],"good":[242],"generalization":[243],"SM-based":[246],"system.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
