{"id":"https://openalex.org/W2968075707","doi":"https://doi.org/10.23919/ecc.2019.8795716","title":"Model-based Predictive Force Control in Milling","display_name":"Model-based Predictive Force Control in Milling","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968075707","doi":"https://doi.org/10.23919/ecc.2019.8795716","mag":"2968075707"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2019.8795716","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8795716","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/A5059257840","display_name":"Sebastian Stemmler","orcid":"https://orcid.org/0009-0003-2079-3431"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Stemmler","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079064177","display_name":"Muzaffer Ay","orcid":"https://orcid.org/0000-0002-5365-3190"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Muzaffer Ay","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013631776","display_name":"Max Schwenzer","orcid":"https://orcid.org/0000-0002-3422-8631"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Max Schwenzer","raw_affiliation_strings":["Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029739081","display_name":"Dirk Abel","orcid":"https://orcid.org/0000-0003-0286-3654"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Abel","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066576243","display_name":"Thomas Bergs","orcid":"https://orcid.org/0000-0003-2754-2689"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Bergs","raw_affiliation_strings":["Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0379,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74677149,"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":"4313","last_page":"4318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9987000226974487,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9987000226974487,"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":0.9972000122070312,"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/machining","display_name":"Machining","score":0.6872178912162781},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6444001197814941},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6165251135826111},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6062557697296143},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.5859935879707336},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5261499285697937},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.45369651913642883},{"id":"https://openalex.org/keywords/numerical-control","display_name":"Numerical control","score":0.42142927646636963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.396301805973053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33989417552948},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.17438748478889465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09471055865287781}],"concepts":[{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6872178912162781},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6444001197814941},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6165251135826111},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6062557697296143},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.5859935879707336},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5261499285697937},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.45369651913642883},{"id":"https://openalex.org/C175457265","wikidata":"https://www.wikidata.org/wiki/Q190247","display_name":"Numerical control","level":3,"score":0.42142927646636963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.396301805973053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33989417552948},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.17438748478889465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09471055865287781},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/ecc.2019.8795716","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8795716","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:publications.rwth-aachen.de:770916","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/770916","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 4313-4318 (2019). doi:10.23919/ECC.2019.8795716","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.550000011920929,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1561941139","https://openalex.org/W1607844871","https://openalex.org/W1626243892","https://openalex.org/W1984119961","https://openalex.org/W2002219970","https://openalex.org/W2013439434","https://openalex.org/W2019105225","https://openalex.org/W2063163361","https://openalex.org/W2069798178","https://openalex.org/W2105576913","https://openalex.org/W2133902127","https://openalex.org/W2155713971","https://openalex.org/W2213594914","https://openalex.org/W2507808446","https://openalex.org/W2563829324","https://openalex.org/W2569293312","https://openalex.org/W2570288573","https://openalex.org/W2594599427","https://openalex.org/W2607417900","https://openalex.org/W2765329538","https://openalex.org/W2796358645","https://openalex.org/W6651050662"],"related_works":["https://openalex.org/W2353665242","https://openalex.org/W2358281326","https://openalex.org/W2989708805","https://openalex.org/W2715761471","https://openalex.org/W2647614668","https://openalex.org/W3155968943","https://openalex.org/W2291962036","https://openalex.org/W2921978471","https://openalex.org/W2380506268","https://openalex.org/W2390059556"],"abstract_inverted_index":{"Milling":[0],"is":[1,23,68,116,135,146],"a":[2,9,15,69,111,140,151],"manufacturing":[3],"process":[4,28,36,81,128],"for":[5],"machining":[6,141],"metals,":[7],"where":[8],"milling":[10,20],"tool":[11,56,100],"cuts":[12],"metal":[13],"from":[14],"workpiece.":[16],"Especially":[17],"during":[18],"rough":[19],"the":[21,27,33,40,44,52,55,59,62,66,77,80,83,87,95,98,120,126,147,156],"productivity":[22],"significantly":[24],"affected":[25],"by":[26,51],"force":[29,37,74,133,158],"that":[30,54],"acts":[31],"on":[32,39,107,139],"tool.":[34],"The":[35,47,130,143],"depends":[38],"feed":[41,63,88,121],"velocity":[42,64,122],"and":[43,86,102,137],"engagement":[45,84],"conditions.":[46],"latter":[48],"are":[49],"defined":[50],"path":[53],"takes":[57],"through":[58],"metal.":[60],"Consequently,":[61],"of":[65,97,150],"cutter":[67],"suitable":[70],"manipulated":[71],"variable.":[72],"A":[73,90],"model":[75,93,112,131],"describes":[76,94],"relation":[78],"between":[79],"force,":[82],"conditions":[85],"velocity.":[89],"separate":[91],"machine":[92,99],"behavior":[96],"axis":[101],"its":[103],"numerical":[104],"controller.":[105],"Based":[106],"these":[108],"two":[109],"models":[110],"predictive":[113,132],"controller":[114,134],"(MPC)":[115],"examined,":[117],"which":[118,153],"controls":[119,155],"with":[123],"respect":[124],"to":[125],"predicted":[127],"force.":[129],"applied":[136],"validated":[138],"center.":[142],"mentioned":[144],"approach":[145],"first":[148],"implementation":[149],"MPC":[152],"explicitly":[154],"active":[157],"in":[159],"milling.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
