乐胖代购免代理版

{"id":"https://openalex.org/W2791986930","doi":"https://doi.org/10.1109/tnnls.2018.2790479","title":"SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems","display_name":"SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems","publication_year":2018,"publication_date":"2018-01-30","ids":{"openalex":"https://openalex.org/W2791986930","doi":"https://doi.org/10.1109/tnnls.2018.2790479","mag":"2791986930","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994566"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2790479","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5004201510","display_name":"Xuebo Yang","orcid":"https://orcid.org/0000-0002-9867-0488"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebo Yang","raw_affiliation_strings":["School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050155839","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0003-0369-7221"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036684787","display_name":"Huijun Gao","orcid":"https://orcid.org/0000-0001-5554-5452"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijun Gao","raw_affiliation_strings":["School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.748,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":40,"citation_normalized_percentile":{"value":0.99995,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"29","issue":"10","first_page":"5071","last_page":"5083"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9976,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9976,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965,"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"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.5739564},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.5162154},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function Approximation","score":0.5110389},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic Gradient Descent","score":0.48131955}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6691197},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6296494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127947},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.5739564},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5680819},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.56599885},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.5162154},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.5110389},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.49199602},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49191403},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.48131955},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.48011327},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.41514868},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40557083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30551803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24472773},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.19904512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19730529},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.091967046},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2790479","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994566","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61627901"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61773143"},{"funder":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province","award_id":"2017F009"}],"datasets":[],"versions":[],"referenced_works_count":32,"referenced_works":["https://openalex.org/W1201888254","https://openalex.org/W1811750039","https://openalex.org/W1969435670","https://openalex.org/W1990026397","https://openalex.org/W1990542469","https://openalex.org/W1999558720","https://openalex.org/W2001218902","https://openalex.org/W2017197130","https://openalex.org/W2021821816","https://openalex.org/W2023435054","https://openalex.org/W2025733153","https://openalex.org/W2030959268","https://openalex.org/W2039596665","https://openalex.org/W2040823282","https://openalex.org/W2051671655","https://openalex.org/W2071447329","https://openalex.org/W2092689064","https://openalex.org/W2113442785","https://openalex.org/W2120703759","https://openalex.org/W2130762434","https://openalex.org/W2131880064","https://openalex.org/W2133869087","https://openalex.org/W2136351519","https://openalex.org/W2137180610","https://openalex.org/W2166657034","https://openalex.org/W2167287735","https://openalex.org/W2167656575","https://openalex.org/W2170062006","https://openalex.org/W2396501762","https://openalex.org/W2514514867","https://openalex.org/W2591187540","https://openalex.org/W3028642772"],"related_works":["https://openalex.org/W3177870706","https://openalex.org/W3124157877","https://openalex.org/W3119645134","https://openalex.org/W3113145869","https://openalex.org/W3006614820","https://openalex.org/W2737349826","https://openalex.org/W2498835000","https://openalex.org/W2171221472","https://openalex.org/W2087686193","https://openalex.org/W2047048571"],"abstract_inverted_index":{"In":[0,77],"this":[1],"paper,":[2],"a":[3,17,31,72,149],"stochastic":[4],"gradient":[5],"descent":[6],"(SGD)-based":[7],"adaptive":[8,39,51,110],"neural":[9],"network":[10],"(NN)":[11],"control":[12,53],"scheme":[13],"is":[14,46,125,142],"presented":[15],"for":[16,58],"class":[18],"of":[19,25,66,93,101,165],"uncertain":[20],"nonlinear":[21],"systems.":[22],"The":[23],"introduction":[24],"the":[26,48,59,61,64,67,81,90,98,102,116,122,130,139,145,161,166],"SGD":[27],"algorithm":[28,104],"results":[29,156],"in":[30],"better":[32],"tracking":[33,123],"performance":[34,124],"compared":[35],"with":[36],"some":[37],"other":[38],"NN":[40,52],"methods":[41],"without":[42],"using":[43,129],"SGD.":[44],"This":[45],"because":[47],"proposed":[49,82,167],"SGD-based":[50],"strategy":[54],"provides":[55],"optimization":[56,103],"algorithms":[57],"weights,":[60],"widths,":[62],"and":[63,154,163],"centers":[65],"NNs,":[68],"which":[69],"can":[70,105,135],"achieve":[71],"good":[73],"function":[74,100],"approximation":[75,118],"performance.":[76],"order":[78],"to":[79,88,114,159],"implement":[80],"method,":[83],"extended":[84],"differentiators":[85],"are":[86,112,157],"introduced":[87],"get":[89],"differential":[91],"estimations":[92],"error":[94],"signals,":[95],"such":[96,120],"that":[97,121,138],"loss":[99],"be":[106,136],"constructed":[107],"approximatively.":[108],"Moreover,":[109],"laws":[111],"designed":[113],"reduce":[115],"overall":[117],"errors,":[119],"further":[126],"improved.":[127],"By":[128],"Lyapunov":[131],"stability":[132],"theory,":[133],"it":[134],"proved":[137],"target":[140],"signal":[141],"tracked":[143],"by":[144],"system":[146],"output":[147],"within":[148],"small":[150],"error.":[151],"Finally,":[152],"simulation":[153],"comparison":[155],"given":[158],"show":[160],"effectiveness":[162],"advantages":[164],"method.":[168]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2791986930","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-04-21T17:03:53.006965","created_date":"2018-03-29"}