{"id":"https://openalex.org/W3093489997","doi":"https://doi.org/10.1109/tnnls.2020.3029113","title":"Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method","display_name":"Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method","publication_year":2020,"publication_date":"2020-10-22","ids":{"openalex":"https://openalex.org/W3093489997","doi":"https://doi.org/10.1109/tnnls.2020.3029113","mag":"3093489997","pmid":"https://pubmed.ncbi.nlm.nih.gov/33090959"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3029113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3029113","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/A5100443324","display_name":"Yajun Zhang","orcid":"https://orcid.org/0000-0002-3863-5701"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102821411","display_name":"Hong Niu","orcid":"https://orcid.org/0000-0002-0293-6932"},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Niu","raw_affiliation_strings":["College of Science, Liaoning Shihua University, Fushun, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Liaoning Shihua University, Fushun, China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064858229","display_name":"Jinmei Tao","orcid":"https://orcid.org/0000-0002-5744-8901"},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmei Tao","raw_affiliation_strings":["College of Science, Liaoning Shihua University, Fushun, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Liaoning Shihua University, Fushun, China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046807162","display_name":"Xusheng Li","orcid":"https://orcid.org/0000-0003-0000-6931"},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xusheng Li","raw_affiliation_strings":["College of Science, Liaoning Shihua University, Fushun, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Liaoning Shihua University, Fushun, China","institution_ids":["https://openalex.org/I166846921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100443324"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.4463,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.6322768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"2","first_page":"789","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9991999864578247,"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":0.9991999864578247,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.994700014591217,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/nonlinear-system","display_name":"Nonlinear system","score":0.780861496925354},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7560245394706726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350838541984558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5903542041778564},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5637945532798767},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.561728835105896},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.507764458656311},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5067005753517151},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4955078363418579},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4205881953239441},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.32429641485214233},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2476215958595276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21564611792564392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16801276803016663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11159393191337585}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.780861496925354},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7560245394706726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350838541984558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5903542041778564},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5637945532798767},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.561728835105896},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.507764458656311},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5067005753517151},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4955078363418579},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4205881953239441},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.32429641485214233},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2476215958595276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21564611792564392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16801276803016663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11159393191337585},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3029113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3029113","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:33090959","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33090959","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/G2444588040","display_name":null,"funder_award_id":"61973202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G40918233","display_name":null,"funder_award_id":"61833004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5846804139","display_name":null,"funder_award_id":"61890924","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7218386193","display_name":null,"funder_award_id":"61773107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7885040424","display_name":null,"funder_award_id":"61991402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8347443067","display_name":null,"funder_award_id":"61866021","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1981597299","https://openalex.org/W1988182293","https://openalex.org/W2010546247","https://openalex.org/W2019207321","https://openalex.org/W2024485096","https://openalex.org/W2031640459","https://openalex.org/W2042944291","https://openalex.org/W2068202815","https://openalex.org/W2070592416","https://openalex.org/W2071595504","https://openalex.org/W2079705818","https://openalex.org/W2089684487","https://openalex.org/W2110028669","https://openalex.org/W2111367974","https://openalex.org/W2127161747","https://openalex.org/W2129148545","https://openalex.org/W2130303604","https://openalex.org/W2138484437","https://openalex.org/W2147873335","https://openalex.org/W2167607842","https://openalex.org/W2171052973","https://openalex.org/W2179832709","https://openalex.org/W2343288771","https://openalex.org/W2343673316","https://openalex.org/W2343951268","https://openalex.org/W2346652662","https://openalex.org/W2462438590","https://openalex.org/W2477478312","https://openalex.org/W2569754130","https://openalex.org/W2602203989","https://openalex.org/W2609139220","https://openalex.org/W2898348168","https://openalex.org/W2900759768","https://openalex.org/W2901704529","https://openalex.org/W2946215326"],"related_works":["https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W3197510923","https://openalex.org/W2370579019","https://openalex.org/W4313265328","https://openalex.org/W2365267743"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,25,33],"adaptive":[3,39,114,135],"nonlinear":[4,14,85,102,106,113,123],"control":[5,55],"method":[6,99,181],"for":[7,100],"a":[8,19],"discrete-time":[9],"dynamical":[10],"system.":[11],"First,":[12],"the":[13,52,67,75,81,84,96,101,122,126,139,146,149,155,163,176,179],"term":[15,23,86,103,124],"is":[16,64,69],"decomposed":[17],"into":[18],"previous":[20,127],"sampling":[21,128],"instant":[22,129],"and":[24,66,80,111,130,152,160,167,182],"unknown":[26,53],"increment":[27,131],"term,":[28],"which":[29],"are":[30,78,91,116,165,172],"determined":[31],"using":[32,60],"intelligent":[34],"estimation":[35,62,89],"algorithm":[36],"based":[37],"on":[38],"fuzzy":[40],"neural":[41],"networks.":[42],"The":[43,158],"problem":[44],"of":[45,74,121,148,162,178],"obtaining":[46],"accurate":[47],"input":[48],"data":[49,73,82],"due":[50],"to":[51,104,144,153,174,188],"current":[54],"signal":[56],"in":[57,83],"unmodeled":[58],"dynamics":[59],"conventional":[61],"algorithms":[63],"addressed,":[65],"conservativeness":[68],"reduced.":[70],"Furthermore,":[71],"historical":[72],"controlled":[76,150],"plant":[77,140,151],"leveraged,":[79],"containing":[87],"repeated":[88],"information":[90],"disregarded.":[92],"Then,":[93],"we":[94],"apply":[95],"proposed":[97,180],"decomposition":[98],"design":[105],"switching":[107,142],"controllers.":[108],"One":[109],"linear":[110],"two":[112],"controllers":[115,136],"designed,":[117],"all":[118],"with":[119,185],"compensation":[120],"at":[125],"estimation.":[132],"These":[133],"three":[134],"coordinately":[137],"operate":[138],"by":[141],"rules":[143],"guarantee":[145],"stability":[147,159],"improve":[154],"system":[156,164],"performance.":[157,192],"convergence":[161],"analyzed":[166],"verified.":[168],"Finally,":[169],"simulation":[170],"examples":[171],"used":[173],"verify":[175],"effectiveness":[177],"compare":[183],"it":[184],"existing":[186],"methods":[187],"confirm":[189],"its":[190],"superior":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
