{"id":"https://openalex.org/W4388726076","doi":"https://doi.org/10.1109/tnnls.2023.3331367","title":"Data-Driven Internal Model Learning Control for Nonlinear Systems","display_name":"Data-Driven Internal Model Learning Control for Nonlinear Systems","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4388726076","doi":"https://doi.org/10.1109/tnnls.2023.3331367","pmid":"https://pubmed.ncbi.nlm.nih.gov/37971918"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3331367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3331367","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/A5003381214","display_name":"Huimin Zhang","orcid":"https://orcid.org/0000-0001-8313-823X"},"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":"Huimin Zhang","raw_affiliation_strings":["School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-8313-823X","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":"last","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, AB, Canada","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, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.145,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78697801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"718","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9983000159263611,"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":0.9983000159263611,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9853000044822693,"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/T11236","display_name":"Control Systems and Identification","score":0.9448999762535095,"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/internal-model","display_name":"Internal model","score":0.8641562461853027},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.815631091594696},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.7739453315734863},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.721713125705719},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7170586585998535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576060652732849},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6538980007171631},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.623172402381897},{"id":"https://openalex.org/keywords/feedback-linearization","display_name":"Feedback linearization","score":0.5788260102272034},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.5286113619804382},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.45354050397872925},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4283328652381897},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4195683002471924},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4102252721786499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2478293478488922},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2136806845664978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1952817440032959},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13942864537239075}],"concepts":[{"id":"https://openalex.org/C28427503","wikidata":"https://www.wikidata.org/wiki/Q13580300","display_name":"Internal model","level":3,"score":0.8641562461853027},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.815631091594696},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.7739453315734863},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.721713125705719},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7170586585998535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576060652732849},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6538980007171631},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.623172402381897},{"id":"https://openalex.org/C85736874","wikidata":"https://www.wikidata.org/wiki/Q672139","display_name":"Feedback linearization","level":3,"score":0.5788260102272034},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.5286113619804382},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.45354050397872925},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4283328652381897},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4195683002471924},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4102252721786499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2478293478488922},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2136806845664978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1952817440032959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13942864537239075},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3331367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3331367","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:37971918","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37971918","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":[],"awards":[{"id":"https://openalex.org/G8538446065","display_name":null,"funder_award_id":"62273192","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":44,"referenced_works":["https://openalex.org/W1567418039","https://openalex.org/W1573465518","https://openalex.org/W1972028324","https://openalex.org/W1972722556","https://openalex.org/W1988718129","https://openalex.org/W1993146794","https://openalex.org/W1994199977","https://openalex.org/W2047374070","https://openalex.org/W2061919036","https://openalex.org/W2074400045","https://openalex.org/W2100288218","https://openalex.org/W2105366983","https://openalex.org/W2119467462","https://openalex.org/W2124034097","https://openalex.org/W2146396918","https://openalex.org/W2158424589","https://openalex.org/W2163572958","https://openalex.org/W2179067136","https://openalex.org/W2359173430","https://openalex.org/W2403165660","https://openalex.org/W2559850580","https://openalex.org/W2562093128","https://openalex.org/W2572036453","https://openalex.org/W2595826919","https://openalex.org/W2745650441","https://openalex.org/W2779312344","https://openalex.org/W2792866162","https://openalex.org/W2892216194","https://openalex.org/W2897145401","https://openalex.org/W2899657942","https://openalex.org/W2904121244","https://openalex.org/W2919564738","https://openalex.org/W2921779020","https://openalex.org/W3003380922","https://openalex.org/W3041846829","https://openalex.org/W3083555874","https://openalex.org/W3094377013","https://openalex.org/W3094527452","https://openalex.org/W3122422172","https://openalex.org/W3138340493","https://openalex.org/W3154081218","https://openalex.org/W3155177691","https://openalex.org/W3180635221","https://openalex.org/W4282940755"],"related_works":["https://openalex.org/W1998462347","https://openalex.org/W2349527210","https://openalex.org/W2120878530","https://openalex.org/W1836713364","https://openalex.org/W2141603307","https://openalex.org/W4300511988","https://openalex.org/W2131265573","https://openalex.org/W2899783744","https://openalex.org/W1633334157","https://openalex.org/W2047374070"],"abstract_inverted_index":{"A":[0],"novel":[1,131],"data-driven":[2,134],"internal":[3,55,79,109],"model":[4,41,56,80,110],"learning":[5],"control":[6],"(DIMLC)":[7],"strategy":[8],"is":[9,29,51,82,99,122,133],"developed":[10],"for":[11,31],"a":[12,100,113,123],"nonlinear":[13,34,59],"nonaffine":[14],"system":[15],"subject":[16],"to":[17,36,85],"unknown":[18],"nonrepetitive":[19],"uncertainties.":[20,129,154],"At":[21],"first,":[22],"an":[23,37,54,66,139],"iterative":[24,38,67],"dynamic":[25],"linearization":[26],"(IDL)":[27],"approach":[28],"employed":[30],"reformulating":[32],"the":[33,44,48,58,86,105,108,117,120,128,151],"plant":[35,60],"linear":[39],"data":[40],"(iLDM).":[42],"Then,":[43],"nominal":[45,101],"form":[46],"of":[47,57,107,116],"IDL-based":[49],"iLDM":[50],"used":[52],"as":[53],"whose":[61],"parameters":[62],"are":[63,158],"estimated":[64],"by":[65,104,160],"adaptive":[68],"updating":[69],"mechanism":[70],"using":[71],"only":[72],"input-output":[73],"(I/O)":[74],"data.":[75],"The":[76,92,130,155],"equivalent":[77],"feedback-principle-based":[78],"inversion":[81,106],"further":[83],"applied":[84],"subsequent":[87],"controller":[88,102,125],"design":[89],"and":[90,135,148],"analysis.":[91],"proposed":[93],"DIMLC":[94,132],"contains":[95],"two":[96],"parts.":[97],"One":[98],"designed":[103],"which":[111,126],"achieves":[112],"perfect":[114],"tracking":[115],"target":[118],"output;":[119],"other":[121],"compensatory":[124],"offsets":[127],"does":[136],"not":[137],"require":[138],"explicit":[140],"model.":[141],"It":[142],"can":[143],"deal":[144],"with":[145],"model-plant":[146],"mismatch":[147],"disturbances,":[149],"enhancing":[150],"robustness":[152],"against":[153],"theoretical":[156],"results":[157],"verified":[159],"simulation":[161],"study.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
