{"id":"https://openalex.org/W1603622892","doi":"https://doi.org/10.1109/acc.2015.7172099","title":"Constrained optimal iterative learning control for mixed-norm cost functions","display_name":"Constrained optimal iterative learning control for mixed-norm cost functions","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1603622892","doi":"https://doi.org/10.1109/acc.2015.7172099","mag":"1603622892"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2015.7172099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7172099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070527445","display_name":"Yijie Guo","orcid":"https://orcid.org/0000-0001-7333-3736"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijie Guo","raw_affiliation_strings":["Mechanical, Aerospace and Nuclear Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical, Aerospace and Nuclear Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083812959","display_name":"Sandipan Mishra","orcid":"https://orcid.org/0000-0001-6187-9221"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandipan Mishra","raw_affiliation_strings":["Mechanical, Aerospace and Nuclear Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical, Aerospace and Nuclear Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"4886","last_page":"4891"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.735913097858429},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.6971238255500793},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6516963243484497},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5870264768600464},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.5532405972480774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5367665886878967},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5169402956962585},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.47290003299713135},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.43458080291748047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36809730529785156},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.228285014629364},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.12883606553077698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11366850137710571},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07577461004257202}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.735913097858429},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6971238255500793},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6516963243484497},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5870264768600464},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.5532405972480774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5367665886878967},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5169402956962585},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.47290003299713135},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.43458080291748047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36809730529785156},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.228285014629364},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.12883606553077698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11366850137710571},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07577461004257202},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2015.7172099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7172099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1544575528","https://openalex.org/W2008004446","https://openalex.org/W2023284387","https://openalex.org/W2025198294","https://openalex.org/W2028099406","https://openalex.org/W2041242313","https://openalex.org/W2045275855","https://openalex.org/W2095840945","https://openalex.org/W2128997828","https://openalex.org/W2138876859","https://openalex.org/W2146008344","https://openalex.org/W2167384050","https://openalex.org/W2168973304","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2379960361","https://openalex.org/W2133373519","https://openalex.org/W2478562663","https://openalex.org/W2104608934","https://openalex.org/W2465904370","https://openalex.org/W1498036222","https://openalex.org/W2107729799","https://openalex.org/W4210894462","https://openalex.org/W1972930307","https://openalex.org/W2365680665"],"abstract_inverted_index":{"Iterative":[0],"learning":[1,36],"control":[2,37,128,226],"(ILC)":[3],"is":[4,24,60],"a":[5,15,81,137,142,154,173,181],"technique":[6],"for":[7,11,165],"determining":[8],"feedforward":[9,109,225],"signals":[10],"systems":[12,103,167],"that":[13],"execute":[14],"task":[16],"repeatedly.":[17],"One":[18],"approach":[19],"towards":[20],"designing":[21],"ILC":[22,98,163],"algorithms":[23,39,164],"to":[25,62,196,208],"pose":[26],"it":[27,59],"as":[28,116,136],"an":[29],"optimization":[30,131],"problem.":[31],"Traditionally,":[32],"norm":[33,178,190,202],"optimal":[34,97,231],"iterative":[35],"(NOILC)":[38,203],"use":[40],"l":[41,70,117,120,175,183,187,199],"2":[42,118,184,200],"-norm-type":[43],"cost":[44,52,85,113,217],"functions.":[45],"However,":[46],"many":[47],"applications":[48],"require":[49],"optimizing":[50],"non-smooth":[51,84],"functions,":[53],"e.g.,":[54],"in":[55,107,204],"trajectory":[56],"tracking":[57,66,125],"where":[58],"desirable":[61],"minimize":[63],"the":[64,78,95,108,194,197,210,213,216,220,223,230],"peak":[65],"error,":[67],"i.e.,":[68],"its":[69],"\u221e":[71,121,176,188],"-norm.":[72],"In":[73,158],"this":[74,130,159],"paper,":[75],"we":[76,161],"explore":[77],"performance":[79],"of":[80,83,124,212,215,222],"class":[82],"functions":[86,114],"along":[87],"with":[88,104,153,171],"constraints":[89,105],"which":[90],"can":[91,133,149],"be":[92,134,151],"recast":[93],"into":[94],"constrained":[96],"(COILC)":[99],"framework.":[100],"For":[101],"linear":[102,143,166,169],"(linear":[106],"input)":[110],"and":[111,127,206,228],"certain":[112],"(such":[115],",":[119],"norms":[123],"error":[126,232],"effort),":[129],"problem":[132],"formulated":[135],"quadratic":[138],"program":[139,144],"(QP)":[140],"or":[141],"(LP).":[145],"These":[146],"COILC":[147],"problems":[148],"then":[150],"solved":[152],"modified":[155],"interior-point-type":[156],"method.":[157],"manuscript,":[160],"derive":[162],"(and":[168],"constraints)":[170],"(1)":[172],"pure":[174],"cost,":[179],"(2)":[180],"mixed":[182],"\u2013":[186],"cost.":[191],"We":[192],"compare":[193],"results":[195],"traditional":[198],"simulation":[205],"experiment":[207],"illustrate":[209],"effect":[211],"choice":[214],"function":[218],"on":[219],"design":[221],"optimized":[224],"effort":[227],"hence":[229],"profile.":[233]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}