{"id":"https://openalex.org/W2550955698","doi":"https://doi.org/10.1109/ijcnn.2016.7727654","title":"Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration","display_name":"Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2550955698","doi":"https://doi.org/10.1109/ijcnn.2016.7727654","mag":"2550955698"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5087825639","display_name":"Qinglai Wei","orcid":"https://orcid.org/0000-0001-7002-9800"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinglai Wei","raw_affiliation_strings":["The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","The State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004057129","display_name":"Derong Liu","orcid":"https://orcid.org/0000-0003-3715-4778"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Derong Liu","raw_affiliation_strings":["School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087825639"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13301509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3544","last_page":"3549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9036999940872192,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9034000039100647,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6340898275375366},{"id":"https://openalex.org/keywords/local-convergence","display_name":"Local convergence","score":0.59405916929245},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.5924268960952759},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5686789751052856},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5526684522628784},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5199662446975708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48319971561431885},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.4731351435184479},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47199347615242004},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.464275062084198},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4547031819820404},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.44738343358039856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43856608867645264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3336450755596161},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.21266475319862366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0968388020992279}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6340898275375366},{"id":"https://openalex.org/C117898588","wikidata":"https://www.wikidata.org/wiki/Q6664310","display_name":"Local convergence","level":3,"score":0.59405916929245},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.5924268960952759},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5686789751052856},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5526684522628784},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5199662446975708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48319971561431885},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.4731351435184479},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47199347615242004},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.464275062084198},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4547031819820404},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.44738343358039856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43856608867645264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3336450755596161},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.21266475319862366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0968388020992279},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W92805021","https://openalex.org/W1983089547","https://openalex.org/W1991119064","https://openalex.org/W1997603681","https://openalex.org/W2011310556","https://openalex.org/W2019338681","https://openalex.org/W2032736119","https://openalex.org/W2048687352","https://openalex.org/W2060686658","https://openalex.org/W2073990179","https://openalex.org/W2080504737","https://openalex.org/W2085194340","https://openalex.org/W2093831009","https://openalex.org/W2100276679","https://openalex.org/W2108383324","https://openalex.org/W2137531403","https://openalex.org/W2142620596","https://openalex.org/W2152161277","https://openalex.org/W2158625202","https://openalex.org/W2160561608","https://openalex.org/W2189990206","https://openalex.org/W2963609304","https://openalex.org/W4205326910","https://openalex.org/W6648026111","https://openalex.org/W6687281640"],"related_works":["https://openalex.org/W4255265352","https://openalex.org/W4239477580","https://openalex.org/W4285537323","https://openalex.org/W1932159282","https://openalex.org/W2090698372","https://openalex.org/W4383890581","https://openalex.org/W2965004901","https://openalex.org/W2921905705","https://openalex.org/W4233178034","https://openalex.org/W2003293420"],"abstract_inverted_index":{"In":[0,42],"this":[1],"paper,":[2],"an":[3,33],"optimal":[4,111],"self-learning":[5],"control":[6,55,112],"scheme":[7],"for":[8,91],"discrete-time":[9],"nonlinear":[10],"systems":[11],"is":[12,74,97,102],"developed":[13,27,44],"using":[14],"a":[15,60],"new":[16,67],"local":[17,28,45,93],"value":[18,29,46,51,81,94],"iteration":[19,30,47,95],"based":[20],"adaptive":[21],"dynamic":[22],"programming":[23],"(ADP)":[24],"algorithm.":[25,41],"The":[26,88],"algorithm":[31,96],"permits":[32],"arbitrary":[34],"positive":[35],"semi-definite":[36],"function":[37,52],"to":[38,76,85,104],"initialize":[39],"the":[40,43,49,63,71,79,86,92,106,109],"algorithm,":[48],"iterative":[50,54,80],"and":[53],"law":[56],"are":[57],"updated":[58],"by":[59],"subset":[61],"of":[62,70,108],"state":[64],"space.":[65],"A":[66,99],"analysis":[68],"method":[69],"convergence":[72,89],"property":[73],"presented":[75],"show":[77],"that":[78],"functions":[82],"will":[83],"converge":[84],"optimum.":[87],"criterion":[90],"presented.":[98],"simulation":[100],"example":[101],"given":[103],"demonstrate":[105],"validity":[107],"present":[110],"scheme.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
