{"id":"https://openalex.org/W4399099720","doi":"https://doi.org/10.1080/00207721.2024.2328065","title":"Iterative learning of output feedback stabilising controller for a class of uncertain nonlinear systems with external disturbances","display_name":"Iterative learning of output feedback stabilising controller for a class of uncertain nonlinear systems with external disturbances","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399099720","doi":"https://doi.org/10.1080/00207721.2024.2328065"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2024.2328065","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2024.2328065","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","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/A5101706786","display_name":"Shuai Yan","orcid":"https://orcid.org/0000-0002-4663-7010"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yan","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-4663-7010","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064231378","display_name":"Yuanqing Xia","orcid":"https://orcid.org/0000-0002-5977-4911"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanqing Xia","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China","Zhongyuan University of Technology, Zhengzhou, Henan, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-5977-4911","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Zhongyuan University of Technology, Zhengzhou, Henan, People's Republic of China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078047051","display_name":"Di\u2010Hua Zhai","orcid":"https://orcid.org/0000-0001-8653-8626"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di-Hua Zhai","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-8653-8626","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064231378"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I132586189"],"apc_list":null,"apc_paid":null,"fwci":2.1723,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87208344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"55","issue":"13","first_page":"2780","last_page":"2795"},"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9948999881744385,"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/T13644","display_name":"Control Systems in Engineering","score":0.9914000034332275,"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/control-theory","display_name":"Control theory (sociology)","score":0.7969474196434021},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.6874759197235107},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6857408881187439},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6739110946655273},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5835037231445312},{"id":"https://openalex.org/keywords/output-feedback","display_name":"Output feedback","score":0.5234729051589966},{"id":"https://openalex.org/keywords/feedback-controller","display_name":"Feedback controller","score":0.5052693486213684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010988712310791},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.42397570610046387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33138108253479004},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2676530182361603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2659253478050232},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2534264922142029},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07311943173408508}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7969474196434021},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.6874759197235107},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6857408881187439},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6739110946655273},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5835037231445312},{"id":"https://openalex.org/C3018623182","wikidata":"https://www.wikidata.org/wiki/Q154021","display_name":"Output feedback","level":3,"score":0.5234729051589966},{"id":"https://openalex.org/C2984730371","wikidata":"https://www.wikidata.org/wiki/Q6501221","display_name":"Feedback controller","level":3,"score":0.5052693486213684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010988712310791},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.42397570610046387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33138108253479004},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2676530182361603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2659253478050232},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2534264922142029},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07311943173408508},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2024.2328065","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2024.2328065","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:55:y:2024:i:13:p:2780-2795","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2024.2328065","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5099999904632568,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G148761407","display_name":null,"funder_award_id":"62173035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5887299536","display_name":null,"funder_award_id":"61803033, 62303051, 61836001, 61720106010","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W614117236","https://openalex.org/W1591402255","https://openalex.org/W1993696628","https://openalex.org/W1996806390","https://openalex.org/W1999558720","https://openalex.org/W2009849238","https://openalex.org/W2050279275","https://openalex.org/W2095910574","https://openalex.org/W2103597466","https://openalex.org/W2112869498","https://openalex.org/W2117233142","https://openalex.org/W2119529803","https://openalex.org/W2120158531","https://openalex.org/W2132917374","https://openalex.org/W2137125234","https://openalex.org/W2154529221","https://openalex.org/W2156759262","https://openalex.org/W2160320184","https://openalex.org/W2338329240","https://openalex.org/W2805977334","https://openalex.org/W2883464943","https://openalex.org/W2885643942","https://openalex.org/W2905015357","https://openalex.org/W2954613538","https://openalex.org/W3080586399","https://openalex.org/W3158121530","https://openalex.org/W4200164389","https://openalex.org/W4205353506","https://openalex.org/W4205951204","https://openalex.org/W4293210811","https://openalex.org/W4308547941","https://openalex.org/W4312809224","https://openalex.org/W4313892988","https://openalex.org/W4321380812","https://openalex.org/W4382461401","https://openalex.org/W4387934993","https://openalex.org/W6619002232"],"related_works":["https://openalex.org/W2000675896","https://openalex.org/W2131044759","https://openalex.org/W2543301105","https://openalex.org/W2714872600","https://openalex.org/W4256132489","https://openalex.org/W1925920690","https://openalex.org/W2012499999","https://openalex.org/W2280718588","https://openalex.org/W2167546557","https://openalex.org/W2776214334"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"output":[4,43,55,88,166,182],"feedback":[5,44,89],"controller":[6,90,196],"using":[7],"iterative":[8,37],"learning":[9,38],"algorithm":[10,39],"is":[11,40,47,91,122,128,152,190],"proposed":[12,195],"for":[13],"stabilising":[14],"a":[15,115,198],"class":[16],"of":[17,61,94,109,118,146,158,180,206],"uncertain":[18,62,110],"nonlinear":[19],"single-input":[20],"single-output":[21],"(SISO)":[22],"systems":[23],"with":[24,112],"unknown":[25],"bounded":[26,163],"disturbances.":[27],"By":[28,144],"dividing":[29],"the":[30,54,79,84,87,95,104,125,133,147,156,159,165,173,178,181,185,194,204,207],"time":[31,186],"interval":[32],"into":[33,42],"equal":[34],"iteration":[35,174],"periods,":[36],"integrated":[41],"control":[45,57,80,100,208],"and":[46,59,98,130,164],"carried":[48],"out":[49],"under":[50],"alignment":[51],"condition.":[52],"Using":[53],"signal,":[56],"input":[58],"estimates":[60,72,136],"parameters,":[63],"adaptive":[64],"state":[65,71,135],"observers":[66],"are":[67,162],"established":[68],"to":[69,77,170,192,197,202],"generate":[70],"which":[73,176],"will":[74,167],"be":[75,142],"employed":[76],"design":[78],"law.":[81],"Based":[82],"on":[83],"backstepping":[85],"technique,":[86],"developed":[92,123],"consisting":[93],"ILC":[96,106,126],"part":[97],"robust":[99],"part.":[101],"Different":[102],"from":[103],"traditional":[105],"update":[107,120],"laws":[108],"parameters":[111],"constant":[113],"gains,":[114],"novel":[116],"type":[117],"parameter":[119],"law":[121],"where":[124],"gain":[127],"variable":[129],"determined":[131],"by":[132],"real-time":[134],"such":[137],"that":[138,154],"system":[139,161,201],"stability":[140],"can":[141],"guaranteed.":[143],"virtue":[145],"composite":[148],"energy":[149],"function,":[150],"it":[151],"proved":[153],"all":[155],"signals":[157],"closed-loop":[160],"uniformly":[168],"converge":[169],"zero":[171],"along":[172],"axis,":[175],"indicates":[177],"stabilisation":[179],"signal":[183],"over":[184],"domain.":[187],"Simulation":[188],"verification":[189],"conducted":[191],"apply":[193],"one-degree-of-freedom":[199],"suspension":[200],"validate":[203],"effectiveness":[205],"scheme.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
