{"id":"https://openalex.org/W2969173210","doi":"https://doi.org/10.23919/ecc.2019.8796103","title":"Robust Estimation of a SOPDT Model from Highly Corrupted Step Response Data","display_name":"Robust Estimation of a SOPDT Model from Highly Corrupted Step Response Data","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969173210","doi":"https://doi.org/10.23919/ecc.2019.8796103","mag":"2969173210"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2019.8796103","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8796103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","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/A5013255393","display_name":"Robin De Keyser","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Robin De Keyser","raw_affiliation_strings":["DySC research group on Dynamical Systems and Control, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DySC research group on Dynamical Systems and Control, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079587319","display_name":"Cristina I. Mure\u015fan","orcid":"https://orcid.org/0000-0003-2301-4133"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cristina I. Muresan","raw_affiliation_strings":["Automation Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8431,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.74117819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"823"},"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":0.9994000196456909,"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":0.9994000196456909,"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/robustness","display_name":"Robustness (evolution)","score":0.8270922899246216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7736685872077942},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5685545206069946},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.565952479839325},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5355978012084961},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5197898149490356},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.47363418340682983},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.4696100652217865},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4636842608451843},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.4594590961933136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4530460834503174},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.438468873500824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43539202213287354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41247352957725525},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3441570997238159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3430461287498474},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33831408619880676},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15227913856506348}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8270922899246216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736685872077942},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5685545206069946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.565952479839325},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5355978012084961},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5197898149490356},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.47363418340682983},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.4696100652217865},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4636842608451843},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.4594590961933136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4530460834503174},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.438468873500824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43539202213287354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41247352957725525},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3441570997238159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3430461287498474},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33831408619880676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15227913856506348},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/ecc.2019.8796103","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8796103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8633690","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-8633690","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9783907144008","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2941721638","display_name":null,"funder_award_id":"PN-III-P1-1.1-TE-2016-1396","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"},{"id":"https://openalex.org/G6058054535","display_name":null,"funder_award_id":"PN-III-P1-1.1","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"},{"id":"https://openalex.org/G7688415803","display_name":null,"funder_award_id":"PN-III-P1-1","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"}],"funders":[{"id":"https://openalex.org/F4320315989","display_name":"National Authority for Scientific Research and Innovation","ror":null},{"id":"https://openalex.org/F4320323444","display_name":"Autoritatea National\u0103 pentru Cercetare Stiintific\u0103","ror":"https://ror.org/03padf885"},{"id":"https://openalex.org/F4320323983","display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","ror":"https://ror.org/01q7jq182"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W583659486","https://openalex.org/W1535144613","https://openalex.org/W1617268900","https://openalex.org/W1669478466","https://openalex.org/W1803525761","https://openalex.org/W1965324089","https://openalex.org/W1992402366","https://openalex.org/W2037479549","https://openalex.org/W2046103889","https://openalex.org/W2097040621","https://openalex.org/W2099272284","https://openalex.org/W2113433055","https://openalex.org/W2115745898","https://openalex.org/W2129472825","https://openalex.org/W2142402591","https://openalex.org/W2283952362","https://openalex.org/W2397440404","https://openalex.org/W2505815630","https://openalex.org/W2614333162","https://openalex.org/W2735624957","https://openalex.org/W4246840991","https://openalex.org/W6632015301","https://openalex.org/W6637317049","https://openalex.org/W6638412517","https://openalex.org/W6695930575"],"related_works":["https://openalex.org/W2281014969","https://openalex.org/W2295079537","https://openalex.org/W2808121504","https://openalex.org/W2022290283","https://openalex.org/W1535221580","https://openalex.org/W953697561","https://openalex.org/W2772268001","https://openalex.org/W2007856464","https://openalex.org/W2027498238","https://openalex.org/W181719207"],"abstract_inverted_index":{"Most":[0],"industrial":[1],"processes,":[2],"even":[3],"though":[4],"complex":[5],"in":[6],"nature,":[7],"can":[8],"be":[9,57],"represented":[10],"using":[11],"second":[12],"order":[13],"plus":[14],"dead-time":[15],"models,":[16],"usually":[17],"determined":[18],"from":[19],"step":[20],"response":[21],"data,":[22],"which":[23],"capture":[24],"the":[25,41,60,76],"essential":[26],"process":[27,61],"dynamics.":[28],"The":[29,63,81],"parameters":[30,77],"of":[31,44,65,78,111],"these":[32,45,112],"models":[33],"are":[34,53,113],"computed":[35],"based":[36],"on":[37],"specific":[38],"algorithms.":[39],"However,":[40],"great":[42],"majority":[43],"algorithms":[46],"require":[47,92],"system":[48,94,108],"identification":[49,95],"basic":[50],"knowledge":[51],"and":[52,107],"thus":[54],"difficult":[55],"to":[56,69,104],"used":[58],"by":[59],"engineer.":[62],"focus":[64],"this":[66],"paper":[67],"is":[68,87],"introduce":[70],"a":[71],"new":[72],"method":[73],"for":[74],"computing":[75],"such":[79],"models.":[80],"major":[82],"advantage":[83],"over":[84],"existing":[85],"methods":[86],"that":[88],"it":[89],"does":[90],"not":[91],"any":[93],"expertise,":[96],"being":[97],"fully":[98],"automatic.":[99],"Additional":[100],"advantages":[101],"include":[102],"robustness":[103],"noise,":[105],"disturbances":[106],"order.":[109],"All":[110],"emphasized":[114],"through":[115],"several":[116],"numerical":[117],"examples,":[118],"as":[119,121],"well":[120],"an":[122],"experimental":[123],"validation.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}