{"id":"https://openalex.org/W2487594877","doi":"https://doi.org/10.1109/acc.2016.7525091","title":"A robust integrated predictive iterative learning control based on updating reference for point-to-point tracking","display_name":"A robust integrated predictive iterative learning control based on updating reference for point-to-point tracking","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2487594877","doi":"https://doi.org/10.1109/acc.2016.7525091","mag":"2487594877"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2016.7525091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7525091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 American Control Conference (ACC)","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/A5057900450","display_name":"Weiwei Qiu","orcid":"https://orcid.org/0000-0002-7789-3324"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Qiu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016722967","display_name":"Jie Ma","orcid":"https://orcid.org/0000-0002-8875-4063"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ma","raw_affiliation_strings":["Department of Automation, Beijing Information Science and Technology University, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing Information Science and Technology University, Beijing","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101815722","display_name":"Zhihua Xiong","orcid":"https://orcid.org/0000-0002-4164-4254"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Xiong","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961439","display_name":"Dexian Huang","orcid":"https://orcid.org/0000-0001-5717-8465"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexian Huang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060279987","display_name":"Wanzhou Li","orcid":"https://orcid.org/0000-0002-8674-040X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzhou Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8101,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74945806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1265","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11301","display_name":"Advanced Surface Polishing Techniques","score":0.9287999868392944,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9200000166893005,"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":0.870673656463623},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7533633708953857},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.708554744720459},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6510815024375916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6213973164558411},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6027877330780029},{"id":"https://openalex.org/keywords/reference-model","display_name":"Reference model","score":0.5512745976448059},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5343199372291565},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4757399559020996},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44866475462913513},{"id":"https://openalex.org/keywords/point-to-point","display_name":"Point-to-point","score":0.44518300890922546},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4315554201602936},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4137605130672455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3581066131591797},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2977389097213745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22992214560508728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2258962094783783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14412906765937805}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.870673656463623},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7533633708953857},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.708554744720459},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6510815024375916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213973164558411},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6027877330780029},{"id":"https://openalex.org/C150189527","wikidata":"https://www.wikidata.org/wiki/Q356674","display_name":"Reference model","level":2,"score":0.5512745976448059},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5343199372291565},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4757399559020996},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44866475462913513},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.44518300890922546},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4315554201602936},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4137605130672455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3581066131591797},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2977389097213745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22992214560508728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2258962094783783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14412906765937805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2016.7525091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7525091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1697431018","https://openalex.org/W1971984830","https://openalex.org/W1994199977","https://openalex.org/W2003269587","https://openalex.org/W2016092009","https://openalex.org/W2016831276","https://openalex.org/W2036880645","https://openalex.org/W2039635255","https://openalex.org/W2041242313","https://openalex.org/W2070515956","https://openalex.org/W2092533924","https://openalex.org/W2114074585","https://openalex.org/W2115503860","https://openalex.org/W2118673821","https://openalex.org/W2159038290","https://openalex.org/W2162793306","https://openalex.org/W2167384050","https://openalex.org/W2168029749","https://openalex.org/W4239749515"],"related_works":["https://openalex.org/W2096485608","https://openalex.org/W2980109010","https://openalex.org/W2759165464","https://openalex.org/W2129739602","https://openalex.org/W2063637915","https://openalex.org/W2036880645","https://openalex.org/W4385235107","https://openalex.org/W4210389621","https://openalex.org/W2001906726","https://openalex.org/W1995525031"],"abstract_inverted_index":{"A":[0],"novel":[1],"control":[2,11,16,106],"technique":[3],"is":[4,39],"proposed":[5,78,119],"by":[6],"combining":[7],"P-type":[8,54],"Iterative":[9],"learning":[10],"(ILC)":[12],"and":[13,56,68,90,97],"model":[14,66],"predictive":[15],"(MPC)":[17],"with":[18,71],"updating-reference":[19,85],"for":[20],"point-to-point":[21],"tracking":[22,43,75],"problem":[23],"of":[24,51,101,110,117],"batch":[25],"process.":[26],"In":[27],"this":[28],"paper,":[29],"a":[30,111],"batch-to-batch":[31],"updating-reference,":[32,61],"which":[33],"passes":[34],"through":[35],"the":[36,42,60,77,87,104,118],"desired":[37],"points,":[38],"designed":[40],"as":[41],"trajectory":[44],"within":[45],"batch.":[46],"The":[47],"update":[48],"law":[49],"consists":[50],"two":[52],"parts:":[53],"ILC":[55],"MPC.":[57],"Based":[58],"on":[59],"MPC":[62],"can":[63],"suppress":[64],"effectively":[65],"perturbations":[67],"disturbances.":[69],"Comparing":[70],"other":[72],"point-to-":[73],"point":[74],"algorithms,":[76],"algorithm":[79],"performs":[80],"better":[81,115],"in":[82],"robustness.":[83],"Furthermore,":[84],"relaxes":[86],"output":[88],"constraints,":[89],"it":[91],"also":[92],"leads":[93],"to":[94],"faster":[95],"convergence":[96],"more":[98],"extensive":[99],"range":[100],"application":[102],"than":[103],"fixed-reference":[105],"algorithms.":[107],"Simulation":[108],"results":[109],"numerical":[112],"case":[113],"show":[114],"performance":[116],"approach.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}