{"id":"https://openalex.org/W2895480859","doi":"https://doi.org/10.1109/tie.2018.2873133","title":"Multipoint Iterative Learning Model Predictive Control","display_name":"Multipoint Iterative Learning Model Predictive Control","publication_year":2018,"publication_date":"2018-10-05","ids":{"openalex":"https://openalex.org/W2895480859","doi":"https://doi.org/10.1109/tie.2018.2873133","mag":"2895480859"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2018.2873133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2873133","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5079785074","display_name":"Jingyi Lu","orcid":"https://orcid.org/0000-0002-4889-6438"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingyi Lu","raw_affiliation_strings":["Fok Ying Tung Graduate School, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4889-6438","affiliations":[{"raw_affiliation_string":"Fok Ying Tung Graduate School, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012669091","display_name":"Zhixing Cao","orcid":"https://orcid.org/0000-0003-2600-5806"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhixing Cao","raw_affiliation_strings":["School of Biological Sciences, University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2600-5806","affiliations":[{"raw_affiliation_string":"School of Biological Sciences, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002154840","display_name":"Furong Gao","orcid":"https://orcid.org/0000-0002-5900-1353"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Furong Gao","raw_affiliation_strings":["Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5900-1353","affiliations":[{"raw_affiliation_string":"Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.113,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95998151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"66","issue":"8","first_page":"6230","last_page":"6240"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9983000159263611,"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/T12080","display_name":"Injection Molding Process and Properties","score":0.9300000071525574,"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/iterative-learning-control","display_name":"Iterative learning control","score":0.9188326001167297},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7887740731239319},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7345081567764282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108577251434326},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5922794938087463},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.5384291410446167},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5159550309181213},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4894179403781891},{"id":"https://openalex.org/keywords/multiple-models","display_name":"Multiple Models","score":0.45730406045913696},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.45585450530052185},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3879833221435547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3555489182472229},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.30732980370521545},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23965418338775635}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.9188326001167297},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7887740731239319},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7345081567764282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108577251434326},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5922794938087463},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.5384291410446167},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5159550309181213},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4894179403781891},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.45730406045913696},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.45585450530052185},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3879833221435547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3555489182472229},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30732980370521545},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23965418338775635},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tie.2018.2873133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2873133","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-96466","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-96466","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-96466","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85054484345&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4721190839","display_name":"\u9762\u5411\u6ce8\u5851\u8fc7\u7a0b\u7684\u5728\u7ebf\u8d28\u91cf\u68c0\u6d4b\u4eea","funder_award_id":"61227005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1964590153","https://openalex.org/W1971984830","https://openalex.org/W2002551261","https://openalex.org/W2015523167","https://openalex.org/W2025198294","https://openalex.org/W2032106965","https://openalex.org/W2035647536","https://openalex.org/W2038261770","https://openalex.org/W2043902859","https://openalex.org/W2049463739","https://openalex.org/W2071760975","https://openalex.org/W2086867325","https://openalex.org/W2087007434","https://openalex.org/W2154529221","https://openalex.org/W2162793306","https://openalex.org/W2197732790","https://openalex.org/W2224482776","https://openalex.org/W2318012484","https://openalex.org/W2464228931","https://openalex.org/W2520450478","https://openalex.org/W2581027780","https://openalex.org/W2755317128","https://openalex.org/W2773062748","https://openalex.org/W4239749515"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W4388738109","https://openalex.org/W2362901947","https://openalex.org/W2362086884","https://openalex.org/W2060165215","https://openalex.org/W1973471600","https://openalex.org/W2160876438","https://openalex.org/W2732563585","https://openalex.org/W2895480859"],"abstract_inverted_index":{"Iterative":[0],"learning":[1,12],"model":[2,15,55],"predictive":[3,16],"control":[4,13],"(ILMPC),":[5],"endowed":[6],"with":[7],"the":[8,46,54,105],"merits":[9],"of":[10,21,34,48,64,116],"iterative":[11],"and":[14,24,74],"control,":[17],"has":[18,28],"excellent":[19],"abilities":[20],"disturbance":[22],"rejection":[23],"constraints":[25],"handling.":[26],"It":[27,68],"been":[29],"widely":[30],"applied":[31],"in":[32,85,103,113],"regulation":[33],"industrial":[35],"batch":[36,132],"processes":[37],"for":[38],"its":[39],"remarkable":[40],"reference":[41],"tracking":[42],"performance.":[43],"In":[44],"practice,":[45],"presence":[47],"strong":[49],"system":[50],"nonlinearity":[51],"fundamentally":[52],"challenges":[53],"mismatch":[56],"cyclewise":[57],"invariance":[58],"assumption":[59],"that":[60],"underlies":[61],"numerous":[62],"synthesis":[63],"many":[65],"ILMPC":[66,90],"methods.":[67],"may":[69],"further":[70],"induce":[71],"additional":[72],"conservatism":[73],"thus":[75],"ultimately":[76],"leads":[77],"to":[78],"performance":[79],"degradation.":[80],"To":[81],"circumvent":[82],"this":[83,86],"issue,":[84],"paper":[87],"a":[88,130],"novel":[89],"scheme":[91],"relying":[92],"upon":[93],"past":[94],"error":[95],"compensation":[96],"from":[97],"multiple":[98],"time":[99],"instances":[100],"is":[101],"presented,":[102],"which":[104],"associated":[106],"weights":[107],"are":[108,121],"adaptively":[109],"optimized,":[110],"thereby":[111],"resulting":[112],"considerable":[114],"enhancement":[115],"robustness.":[117],"These":[118],"superior":[119],"performances":[120],"confirmed":[122],"by":[123],"numerical":[124],"experiments":[125],"on":[126],"injection":[127],"molding":[128],"process,":[129],"typical":[131],"process.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-10-12T00:00:00"}
