{"id":"https://openalex.org/W3092049296","doi":"https://doi.org/10.1109/tnnls.2020.3027000","title":"Event-Triggered Nonlinear Iterative Learning Control","display_name":"Event-Triggered Nonlinear Iterative Learning Control","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3092049296","doi":"https://doi.org/10.1109/tnnls.2020.3027000","mag":"3092049296","pmid":"https://pubmed.ncbi.nlm.nih.gov/33048755"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3027000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027000","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5047053338","display_name":"Na Lin","orcid":"https://orcid.org/0000-0002-0157-3199"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Lin","raw_affiliation_strings":["School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-0157-3199","affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004282593","display_name":"Ronghu Chi","orcid":"https://orcid.org/0000-0002-1325-7863"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghu Chi","raw_affiliation_strings":["School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-1325-7863","affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9082-2216","affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082706113","display_name":"Zhongsheng Hou","orcid":"https://orcid.org/0000-0001-5278-3420"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongsheng Hou","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-5278-3420","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8104,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9563264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":"11","first_page":"5118","last_page":"5128"},"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":0.8100458383560181},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7117986679077148},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7100460529327393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543360352516174},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6256471872329712},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5487098693847656},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.515614926815033},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5081515312194824},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5039157271385193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24039998650550842},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.18879878520965576},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1652761697769165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15068843960762024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09044721722602844}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.8100458383560181},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7117986679077148},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7100460529327393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543360352516174},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6256471872329712},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5487098693847656},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.515614926815033},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5081515312194824},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5039157271385193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24039998650550842},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.18879878520965576},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1652761697769165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15068843960762024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09044721722602844},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3027000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027000","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33048755","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33048755","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G32980757","display_name":null,"funder_award_id":"61873139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3456178321","display_name":null,"funder_award_id":"2018GGX101047","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G5736963718","display_name":null,"funder_award_id":"61374102","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/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1972107234","https://openalex.org/W1972722556","https://openalex.org/W1996722754","https://openalex.org/W2039430892","https://openalex.org/W2074400045","https://openalex.org/W2079023939","https://openalex.org/W2082830287","https://openalex.org/W2107946995","https://openalex.org/W2124877870","https://openalex.org/W2141185589","https://openalex.org/W2146396918","https://openalex.org/W2169935591","https://openalex.org/W2345184888","https://openalex.org/W2483992211","https://openalex.org/W2548855981","https://openalex.org/W2558268165","https://openalex.org/W2567328588","https://openalex.org/W2602641264","https://openalex.org/W2606497965","https://openalex.org/W2608915849","https://openalex.org/W2612208109","https://openalex.org/W2726520282","https://openalex.org/W2736080356","https://openalex.org/W2764217749","https://openalex.org/W2768779900","https://openalex.org/W2770213313","https://openalex.org/W2802409543","https://openalex.org/W2806678623","https://openalex.org/W2896841474","https://openalex.org/W2914108621","https://openalex.org/W2953583642","https://openalex.org/W2969179143","https://openalex.org/W3013050747","https://openalex.org/W3013553450","https://openalex.org/W3101086659","https://openalex.org/W3143767954"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W2362901947","https://openalex.org/W2362086884","https://openalex.org/W1606071314","https://openalex.org/W2350210972","https://openalex.org/W2369126164","https://openalex.org/W2376218423"],"abstract_inverted_index":{"An":[0],"event-triggered":[1],"nonlinear":[2,14,63,138],"iterative":[3,69],"learning":[4,57,70],"control":[5,91],"(ET-NILC)":[6],"method":[7,36],"is":[8,37,62,88,115,158],"presented":[9],"for":[10,125],"repetitive":[11,134],"nonaffine":[12,137],"and":[13,24,64,92,106],"systems":[15,139],"that":[16],"have":[17],"2-D":[18],"dynamic":[19],"behavior":[20],"along":[21,52],"both":[22],"time":[23,83],"iteration":[25,54],"directions.":[26],"Based":[27],"on":[28,46],"the":[29,34,47,53,76,79,82,85,93,107,112,126,141,147,154,163,166],"virtual":[30],"linear":[31],"data":[32,124],"model,":[33],"ET-NILC":[35,61,87,114,156],"proposed":[38,86,113,155,167],"by":[39,66],"designing":[40,67],"an":[41,68],"event":[42,103],"triggering":[43,104],"condition":[44,95],"based":[45],"Lyapunov-like":[48],"stability":[49,145],"analysis":[50],"conducted":[51],"direction.":[55],"The":[56,128,151],"gain":[58],"function":[59],"of":[60,81,143,153,165],"updated":[65],"parameter":[71],"estimation":[72],"law":[73],"to":[74,133],"enhance":[75],"robustness.":[77],"From":[78],"perspective":[80],"dynamics,":[84],"a":[89,116],"feedforward":[90],"event-triggering":[94],"can":[96],"be":[97],"verified":[98],"offline":[99],"using":[100,140],"tracking":[101],"errors,":[102,105],"estimated":[108],"parameters":[109],"together.":[110],"Moreover,":[111],"data-driven":[117],"scheme":[118],"since":[119],"it":[120],"merely":[121],"uses":[122],"I/O":[123],"design.":[127],"results":[129],"are":[130],"also":[131],"extended":[132],"multiple-input-multiple-output":[135],"(MIMO)":[136],"property":[142],"input-to-state":[144],"as":[146],"basic":[148],"mathematical":[149],"tool.":[150],"convergence":[152],"methods":[157],"proved.":[159],"Several":[160],"simulations":[161],"illustrate":[162],"effectiveness":[164],"methods.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
