{"id":"https://openalex.org/W7125898576","doi":"https://doi.org/10.1109/smc58881.2025.11342907","title":"Retrospective Cost Input Estimation for Online Disturbance Estimation in Intelligent Manufacturing: Application to Cascaded Systems and Equivalent Input Disturbance estimation *","display_name":"Retrospective Cost Input Estimation for Online Disturbance Estimation in Intelligent Manufacturing: Application to Cascaded Systems and Equivalent Input Disturbance estimation *","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125898576","doi":"https://doi.org/10.1109/smc58881.2025.11342907"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5007969014","display_name":"Marnel Altius","orcid":"https://orcid.org/0000-0002-1818-6160"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]},{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Marnel Altius","raw_affiliation_strings":["National Taiwan University of Science and Technology,Graduate Institute of Intelligent Manufacturing Technology,Taipei,Taiwan,106335"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Graduate Institute of Intelligent Manufacturing Technology,Taipei,Taiwan,106335","institution_ids":["https://openalex.org/I154864474","https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124129356","display_name":"Shuhao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]},{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shuhao Liang","raw_affiliation_strings":["National Taiwan University of Science and Technology,Graduate Institute of Intelligent Manufacturing Technology,Taipei,Taiwan,106335"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Graduate Institute of Intelligent Manufacturing Technology,Taipei,Taiwan,106335","institution_ids":["https://openalex.org/I154864474","https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007969014"],"corresponding_institution_ids":["https://openalex.org/I118292597","https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69882928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8353999853134155,"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":0.8353999853134155,"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":0.05130000039935112,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.015799999237060547,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7376999855041504},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7186999917030334},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6360999941825867},{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.5618000030517578},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.508400022983551},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4584999978542328},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.3926999866962433}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7376999855041504},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7186999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473000049591064},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6360999941825867},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.5618000030517578},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5189999938011169},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4020000100135803},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.31700000166893005},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.30730000138282776},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1587366697","https://openalex.org/W2044533293","https://openalex.org/W2070091303","https://openalex.org/W2106799220","https://openalex.org/W2128751239","https://openalex.org/W2135493101","https://openalex.org/W2149459291","https://openalex.org/W2230652337","https://openalex.org/W2538980029","https://openalex.org/W2571822106","https://openalex.org/W2754203428","https://openalex.org/W2767346351","https://openalex.org/W2794266846","https://openalex.org/W2972430791","https://openalex.org/W2993840619","https://openalex.org/W3026770904","https://openalex.org/W3089840462","https://openalex.org/W3097471692","https://openalex.org/W3209748933","https://openalex.org/W4212871542","https://openalex.org/W4225712659","https://openalex.org/W4239957716","https://openalex.org/W4294690611","https://openalex.org/W4321238585","https://openalex.org/W4382936062","https://openalex.org/W4386634464","https://openalex.org/W4390821630","https://openalex.org/W4409054913"],"related_works":[],"abstract_inverted_index":{"This":[0,114],"paper":[1],"introduces":[2],"a":[3,40,71,118],"new":[4],"Retrospective":[5],"Cost":[6],"Input":[7,108],"Estimation":[8],"(RCIE)":[9],"method":[10,26],"for":[11,50,121,130],"disturbance":[12,109],"estimation":[13,25,125],"and":[14,32,39,67,84,90,110,123,135],"modeling":[15],"in":[16,54,82,126],"Intelligent":[17],"Manufacturing":[18],"Systems":[19],"(IMS).":[20],"Key":[21],"contributions":[22],"include":[23],"an":[24,106],"that":[27,42],"works":[28],"with":[29,45,56,87,128],"cascaded":[30],"subsystems":[31],"nonlinearities,":[33],"regardless":[34],"of":[35,61],"plant":[36],"zero":[37],"types,":[38],"framework":[41],"combines":[43],"RCIE":[44,62],"the":[46,77,95,98,103],"Equivalent-Input-Disturbance":[47],"(EID)":[48],"estimator":[49],"improved":[51],"performance,":[52],"especially":[53],"systems":[55],"poor":[57],"observability.":[58],"The":[59],"effectiveness":[60],"is":[63,94],"validated":[64],"through":[65],"simulations":[66],"physical":[68],"experiments":[69],"on":[70],"motor":[72],"system,":[73],"showing":[74],"it":[75],"outperforms":[76],"Augmented":[78],"Kalman":[79],"Filter":[80],"(AKF)":[81],"accuracy":[83],"convergence,":[85],"particularly":[86],"non-sinusoidal":[88],"inputs":[89],"complex":[91],"dynamics.":[92],"It":[93],"first":[96],"to":[97,101],"authors":[99],"knowledge":[100],"highlight":[102],"connection":[104],"between":[105],"Equivalent":[107],"retrospective":[111],"cost":[112],"optimisation.":[113],"RCIE-based":[115],"approach":[116],"offers":[117],"robust":[119],"solution":[120],"state":[122],"input":[124],"IMS,":[127],"potential":[129],"better":[131],"control,":[132],"fault":[133],"diagnosis,":[134],"manufacturing":[136],"resilience.":[137]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
