{"id":"https://openalex.org/W7155068727","doi":"https://doi.org/10.48550/arxiv.2604.16908","title":"End-to-End ILC for Repetitive Untrackable Tasks: A Cooperative Game Perspective","display_name":"End-to-End ILC for Repetitive Untrackable Tasks: A Cooperative Game Perspective","publication_year":2026,"publication_date":"2026-04-18","ids":{"openalex":"https://openalex.org/W7155068727","doi":"https://doi.org/10.48550/arxiv.2604.16908"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.16908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.16908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069138414","display_name":"Zhihe Zhuang","orcid":"https://orcid.org/0000-0003-0811-9519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuang, Zhihe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134139317","display_name":"Rodrigo A. Gonz\u00e1lez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonz\u00e1lez, Rodrigo A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044037112","display_name":"Hongfeng Tao","orcid":"https://orcid.org/0000-0001-5279-2458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Hongfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017767595","display_name":"Wojciech Paszke","orcid":"https://orcid.org/0000-0001-5060-0993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paszke, Wojciech","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050892930","display_name":"Tom Oomen","orcid":"https://orcid.org/0000-0001-7721-4566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oomen, Tom","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.996999979019165,"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":0.996999979019165,"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/T14083","display_name":"Extremum Seeking Control Systems","score":0.000699999975040555,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":9.999999747378752e-05,"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":0.8016999959945679},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6894999742507935},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5935999751091003},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5806999802589417},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5703999996185303},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43290001153945923},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4009999930858612}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.8016999959945679},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6894999742507935},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5935999751091003},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5806999802589417},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5703999996185303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5210999846458435},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2856000065803528},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2711000144481659}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.16908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.16908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"An":[0],"inherent":[1],"assumption":[2,30],"of":[3,77,121],"perfect":[4],"tracking":[5],"in":[6,33,54],"iterative":[7],"learning":[8],"control":[9],"(ILC)":[10],"is":[11,60,82,109,115],"that":[12,19],"there":[13],"exists":[14],"an":[15,46],"ILC":[16,48,66,80,96,107],"input":[17,59,68],"such":[18],"the":[20,25,65,71,78,93,103,119,122],"generated":[21],"output":[22],"can":[23],"track":[24],"desired":[26,39],"trajectory":[27],"reference.":[28],"This":[29,43,74],"may":[31],"fail":[32],"practice,":[34],"which":[35],"gives":[36,45],"rise":[37],"to":[38,97,117],"but":[40],"untrackable":[41,52],"tasks.":[42],"paper":[44],"end-to-end":[47,95],"design":[49],"for":[50,92],"repetitive":[51],"tasks":[53],"closed-loop":[55,79],"systems.":[56],"The":[57],"reference":[58],"trial-to-trial":[61],"updated":[62],"together":[63],"with":[64],"feedforward":[67],"based":[69],"on":[70],"measurement":[72],"data.":[73],"two-player":[75,94],"behavior":[76],"system":[81],"investigated":[83],"from":[84],"a":[85,99,112],"cooperative":[86],"game":[87],"perspective.":[88],"A":[89],"sufficient":[90],"condition":[91],"have":[98],"lower":[100],"cost":[101],"than":[102],"one-player":[104],"norm":[105],"optimal":[106],"(NOILC)":[108],"discovered.":[110],"Finally,":[111],"numerical":[113],"example":[114],"given":[116],"verify":[118],"effectiveness":[120],"developed":[123],"method.":[124]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-22T00:00:00"}