{"id":"https://openalex.org/W2028152346","doi":"https://doi.org/10.1080/08839510290030291","title":"A neural network based approach for measurement dynamics compensation","display_name":"A neural network based approach for measurement dynamics compensation","publication_year":2002,"publication_date":"2002-07-01","ids":{"openalex":"https://openalex.org/W2028152346","doi":"https://doi.org/10.1080/08839510290030291","mag":"2028152346"},"language":"en","primary_location":{"id":"doi:10.1080/08839510290030291","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510290030291","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"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":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5041531122","display_name":"P\u00e9tia Georgieva","orcid":"https://orcid.org/0000-0002-6424-6590"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. Georgieva","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082751368","display_name":"S. Feyo de Azevedo","orcid":"https://orcid.org/0000-0001-6389-2091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Feyo de Azevedo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041531122"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.110878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"6","first_page":"423","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.998199999332428,"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/T11236","display_name":"Control Systems and Identification","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8810276985168457},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7389587163925171},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.7218025922775269},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6677363514900208},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5805060267448425},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.504757285118103},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49479740858078003},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46089640259742737},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4456591308116913},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4109552800655365},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3327530026435852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30175313353538513},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10469210147857666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8810276985168457},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7389587163925171},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.7218025922775269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6677363514900208},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5805060267448425},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.504757285118103},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49479740858078003},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46089640259742737},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4456591308116913},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4109552800655365},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3327530026435852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30175313353538513},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10469210147857666},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839510290030291","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510290030291","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"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":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W612593197","https://openalex.org/W1535810436","https://openalex.org/W1597190145","https://openalex.org/W1964176878","https://openalex.org/W1969705022","https://openalex.org/W1970331223","https://openalex.org/W2001575957","https://openalex.org/W2014693194","https://openalex.org/W2027595458","https://openalex.org/W2029766547","https://openalex.org/W2035895994","https://openalex.org/W2045462275","https://openalex.org/W2045685429","https://openalex.org/W2049151613","https://openalex.org/W2049316380","https://openalex.org/W2051314761","https://openalex.org/W2054184020","https://openalex.org/W2121779611","https://openalex.org/W2124240248","https://openalex.org/W2135706135","https://openalex.org/W2138484437","https://openalex.org/W2142592520","https://openalex.org/W2170993095","https://openalex.org/W4253110186","https://openalex.org/W4285719527","https://openalex.org/W4299507991","https://openalex.org/W4312750805"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W1975289146","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W4281727072","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W1532073221","https://openalex.org/W2364594747"],"abstract_inverted_index":{"In":[0,71],"this":[1,72],"article":[2,15],"a":[3,28,78,108,117,128],"task-oriented":[4],"neural":[5,29],"network":[6,30,75],"(NN)":[7],"solution":[8],"is":[9,25,49,113,139],"proposed":[10],"for":[11,83,126,166],"the":[12,54,62,65,68,74,84,88,94,104,147,153,157,161],"problem":[13],"of":[14,36,67,87,155],"recovering":[16,111],"real":[17],"process":[18,96],"outputs":[19,66],"from":[20],"available":[21],"distorted":[22],"measurements.":[23],"It":[24,138],"shown":[26,140],"that":[27,141],"can":[31],"be":[32,122],"used":[33],"as":[34,77],"approximator":[35],"inverted":[37],"first-order":[38],"measurement":[39,90,105],"dynamics":[40,86],"with":[41,53],"and":[42,64,92,136,160],"without":[43],"time":[44],"delay.":[45],"The":[46],"trained":[47],"NN":[48,158],"connected":[50],"in":[51,57,103],"series":[52],"sensor,":[55],"resulting":[56],"an":[58],"identity":[59],"mapping":[60],"between":[61],"inputs":[63],"composed":[69],"system.":[70],"way":[73],"acts":[76],"software":[79],"mechanism":[80],"to":[81,121,146],"compensate":[82],"existing":[85],"whole":[89],"system":[91,106,169],"recover":[93],"actual":[95],"output.":[97],"For":[98],"those":[99],"cases":[100],"where":[101],"changes":[102],"occur,":[107],"multiple":[109],"concurrent-NN":[110],"scheme":[112],"proposed.":[114],"This":[115],"requires":[116],"periodical":[118],"path-finding":[119],"calibration":[120,129,162],"performed.":[123],"A":[124],"procedure":[125,163],"such":[127],"purpose":[130],"has":[131],"also":[132],"been":[133],"developed,":[134],"implemented,":[135],"tested.":[137],"it":[142],"brings":[143],"adequate":[144],"robustness":[145],"overall":[148],"compensation":[149],"scheme.":[150],"Results":[151],"showing":[152],"performance":[154],"both":[156],"compensator":[159],"are":[164],"presented":[165],"closed":[167],"loop":[168],"operation.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
