{"id":"https://openalex.org/W2982374911","doi":"https://doi.org/10.1109/icstcc.2019.8885434","title":"Data\u2013driven Neural Feedforward Controller Design for Industrial Linear Motors","display_name":"Data\u2013driven Neural Feedforward Controller Design for Industrial Linear Motors","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982374911","doi":"https://doi.org/10.1109/icstcc.2019.8885434","mag":"2982374911"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc.2019.8885434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc.2019.8885434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)","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/A5016302433","display_name":"Yuk Hang Yuen","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Yuk Hang Yuen","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045512282","display_name":"Mircea Lazar","orcid":"https://orcid.org/0000-0003-4338-9004"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mircea Lazar","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060272451","display_name":"Hans Butler","orcid":"https://orcid.org/0000-0002-2650-4798"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hans Butler","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016302433"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":1.0107,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77499106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":1.0,"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/T11749","display_name":"Iterative Learning Control Systems","score":1.0,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/feed-forward","display_name":"Feed forward","score":0.8869565725326538},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6876588463783264},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6674607992172241},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.611451268196106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5900306105613708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565970242023468},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5651480555534363},{"id":"https://openalex.org/keywords/mechatronics","display_name":"Mechatronics","score":0.4886663258075714},{"id":"https://openalex.org/keywords/inverse-dynamics","display_name":"Inverse dynamics","score":0.4658874571323395},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4291978180408478},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3076474070549011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24113813042640686},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.13958662748336792},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.11886206269264221}],"concepts":[{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.8869565725326538},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6876588463783264},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6674607992172241},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.611451268196106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5900306105613708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565970242023468},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5651480555534363},{"id":"https://openalex.org/C28704281","wikidata":"https://www.wikidata.org/wiki/Q180165","display_name":"Mechatronics","level":2,"score":0.4886663258075714},{"id":"https://openalex.org/C187523126","wikidata":"https://www.wikidata.org/wiki/Q17098330","display_name":"Inverse dynamics","level":3,"score":0.4658874571323395},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4291978180408478},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3076474070549011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24113813042640686},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.13958662748336792},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.11886206269264221},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icstcc.2019.8885434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc.2019.8885434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/bd9ab1ab-bd0d-4607-98d2-47679c7aa6a5","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/bd9ab1ab-bd0d-4607-98d2-47679c7aa6a5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yuen, Y H, Lazar, M & Butler, H 2019, Data-driven neural feedforward controller design for industrial linear motors. in R-E Precup (ed.), 2019 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019 - Proceedings., 8885434, Institute of Electrical and Electronics Engineers, Piscataway, pp. 461-467, 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019, Sinaia, Romania, 9/10/19. https://doi.org/10.1109/ICSTCC.2019.8885434","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:917728","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=917728","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:917728","is_oa":false,"landing_page_url":"http://repository.tue.nl/917728","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.tue.nl:publications/bd9ab1ab-bd0d-4607-98d2-47679c7aa6a5","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85075034128&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yuen, Y H, Lazar, M & Butler, H 2019, Data-driven neural feedforward controller design for industrial linear motors. in R-E Precup (ed.), 2019 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019 - Proceedings., 8885434, Institute of Electrical and Electronics Engineers, Piscataway, pp. 461-467, 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019, Sinaia, Romania, 9/10/19. https://doi.org/10.1109/ICSTCC.2019.8885434","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/bd9ab1ab-bd0d-4607-98d2-47679c7aa6a5","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/bd9ab1ab-bd0d-4607-98d2-47679c7aa6a5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019 - Proceedings, 461 - 467","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W592500761","https://openalex.org/W1490488263","https://openalex.org/W1642533451","https://openalex.org/W1890661246","https://openalex.org/W1941114884","https://openalex.org/W1965324089","https://openalex.org/W1990174025","https://openalex.org/W2020375515","https://openalex.org/W2041242313","https://openalex.org/W2059954946","https://openalex.org/W2067520754","https://openalex.org/W2083470149","https://openalex.org/W2107066091","https://openalex.org/W2109302642","https://openalex.org/W2111770009","https://openalex.org/W2118301267","https://openalex.org/W2135195563","https://openalex.org/W2137983211","https://openalex.org/W2140964056","https://openalex.org/W2598353255","https://openalex.org/W2619062182","https://openalex.org/W2732933556","https://openalex.org/W2763456105","https://openalex.org/W2896018254","https://openalex.org/W3146803896","https://openalex.org/W4248745263","https://openalex.org/W6676040971","https://openalex.org/W6755129444"],"related_works":["https://openalex.org/W2913189039","https://openalex.org/W1889691171","https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W1529660427","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W2158578859","https://openalex.org/W4391020207"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,75],"consider":[4],"the":[5,27,35,42,46,55,84,101,105],"problem":[6],"of":[7,48],"feedforward":[8,28,68,114,132,141],"controller":[9],"design":[10,65,112],"for":[11,34,121],"industrial":[12,125],"linear":[13,126],"motors.":[14,127],"These":[15],"motors":[16],"are":[17,134],"safety-critical":[18],"high-precision":[19],"mechatronics":[20],"systems":[21],"that":[22,77,97],"pose":[23],"stringent":[24],"requirements":[25],"on":[26],"design:":[29],"safe":[30],"and":[31,51,60,74,104,136,142],"predictable":[32],"behavior":[33,107],"desired":[36],"motion":[37],"profiles,":[38],"tracking":[39],"performance":[40],"within":[41,54],"10\u03bcm":[43],"range":[44],"in":[45,124,146],"presence":[47],"nonlinear":[49],"friction":[50,106],"real-time":[52,122],"implementation":[53,123],"1ms":[56],"range.":[57],"We":[58,94],"investigate":[59],"compare":[61],"several":[62],"possibilities":[63],"to":[64,89,91,111],"data-":[66],"driven":[67],"controllers":[69,115,133,145],"using":[70],"neural":[71,113,131],"networks":[72],"(NN)":[73],"show":[76,96],"a":[78,117],"two-step":[79],"inverse":[80],"estimation":[81],"method":[82],"is":[83],"most":[85],"suitable":[86,120],"approach,":[87],"due":[88],"robustness":[90],"noisy":[92],"data.":[93],"also":[95],"basic":[98],"knowledge":[99],"about":[100],"system":[102],"dynamics":[103],"can":[108],"be":[109],"exploited":[110],"with":[116,138],"simple":[118],"structure,":[119],"The":[128],"developed":[129],"data-driven":[130],"tested":[135],"compared":[137],"standard":[139],"mass-acceleration":[140],"iterative":[143],"learning":[144],"realistic":[147],"simulations.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}