{"id":"https://openalex.org/W4296437223","doi":"https://doi.org/10.1109/tnnls.2022.3203419","title":"Event-Triggered Adaptive Fuzzy Neural Network Output Feedback Control for Constrained Stochastic Nonlinear Systems","display_name":"Event-Triggered Adaptive Fuzzy Neural Network Output Feedback Control for Constrained Stochastic Nonlinear Systems","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296437223","doi":"https://doi.org/10.1109/tnnls.2022.3203419","pmid":"https://pubmed.ncbi.nlm.nih.gov/36121955"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3203419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3203419","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/A5020096491","display_name":"Chenyi Si","orcid":"https://orcid.org/0000-0002-0006-8967"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyi Si","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China","Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-0006-8967","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682407","display_name":"Qing\u2010Guo Wang","orcid":"https://orcid.org/0000-0002-3672-3716"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Qing-Guo Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","Guangdong Key Laboratory of AI and Multi-Modal Data Processing, Beijing Normal University (BNU)-Hong Kong Baptist University (HKBU) United International College, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-3672-3716","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Guangdong Key Laboratory of AI and Multi-Modal Data Processing, Beijing Normal University (BNU)-Hong Kong Baptist University (HKBU) United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I141568987","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018438088","display_name":"Jinpeng Yu","orcid":"https://orcid.org/0000-0002-5432-1702"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Yu","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China","Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5432-1702","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.649,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.90088798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"4","first_page":"5345","last_page":"5354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9965000152587891,"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/backstepping","display_name":"Backstepping","score":0.8236179947853088},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.8235360980033875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638717770576477},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5971782803535461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5845153331756592},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5249567031860352},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.5164778232574463},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48093265295028687},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.41539067029953003},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.30577099323272705},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.3047577440738678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13796719908714294}],"concepts":[{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.8236179947853088},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8235360980033875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638717770576477},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5971782803535461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5845153331756592},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5249567031860352},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.5164778232574463},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48093265295028687},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.41539067029953003},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30577099323272705},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.3047577440738678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13796719908714294},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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":[{"id":"doi:10.1109/tnnls.2022.3203419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3203419","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:36121955","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36121955","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":[{"id":"https://metadata.un.org/sdg/8","score":0.5699999928474426,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G7344953437","display_name":null,"funder_award_id":"61973179","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":44,"referenced_works":["https://openalex.org/W1967050435","https://openalex.org/W1983294924","https://openalex.org/W1984287998","https://openalex.org/W1986024064","https://openalex.org/W1996099152","https://openalex.org/W2024677911","https://openalex.org/W2039347466","https://openalex.org/W2086762105","https://openalex.org/W2090997347","https://openalex.org/W2102057409","https://openalex.org/W2109151516","https://openalex.org/W2132300288","https://openalex.org/W2137824246","https://openalex.org/W2138941894","https://openalex.org/W2164136313","https://openalex.org/W2168097327","https://openalex.org/W2175091750","https://openalex.org/W2564463482","https://openalex.org/W2597764359","https://openalex.org/W2624686809","https://openalex.org/W2765910425","https://openalex.org/W2792882341","https://openalex.org/W2911613191","https://openalex.org/W2912862712","https://openalex.org/W2921190699","https://openalex.org/W2922081326","https://openalex.org/W2922358507","https://openalex.org/W2925658806","https://openalex.org/W2981847292","https://openalex.org/W2995845517","https://openalex.org/W2999813176","https://openalex.org/W3012660637","https://openalex.org/W3015621446","https://openalex.org/W3020949582","https://openalex.org/W3026790165","https://openalex.org/W3027336467","https://openalex.org/W3106074051","https://openalex.org/W3153558619","https://openalex.org/W3154747278","https://openalex.org/W3156271206","https://openalex.org/W3156619494","https://openalex.org/W3200288111","https://openalex.org/W3205519146","https://openalex.org/W4205542885"],"related_works":["https://openalex.org/W1847613412","https://openalex.org/W2376449068","https://openalex.org/W4382203996","https://openalex.org/W4365392829","https://openalex.org/W2100998971","https://openalex.org/W2002811656","https://openalex.org/W2990087644","https://openalex.org/W2517897957","https://openalex.org/W2104457306","https://openalex.org/W1545539801"],"abstract_inverted_index":{"This":[0],"article":[1],"investigates":[2],"the":[3,38,45,54,62,69,79,89,98,108,114,127,130],"problem":[4],"of":[5,64,107,129],"command-filtered":[6,50],"event-triggered":[7,83],"adaptive":[8],"fuzzy":[9],"neural":[10],"network":[11],"(FNN)":[12],"output":[13],"feedback":[14],"control":[15],"for":[16],"stochastic":[17],"nonlinear":[18],"systems":[19,116],"(SNSs)":[20],"with":[21],"time-varying":[22,32],"asymmetric":[23,31],"constraints":[24],"and":[25,53,67,110],"input":[26],"saturation.":[27],"By":[28],"constructing":[29],"quartic":[30],"barrier":[33],"Lyapunov":[34],"functions":[35],"(TVBLFs),":[36],"all":[37,111],"state":[39],"variables":[40],"are":[41,58,117],"not":[42],"to":[43,60,77,87,103,125],"transgress":[44],"prescribed":[46],"dynamic":[47],"constraints.":[48],"The":[49,82],"backstepping":[51],"method":[52],"error":[55,100],"compensation":[56],"mechanism":[57,84],"combined":[59],"eliminate":[61],"issue":[63],"\"computational":[65],"explosion\"":[66],"compensate":[68],"filtering":[70],"errors.":[71],"An":[72],"FNN":[73],"observer":[74],"is":[75,85,95,123],"developed":[76],"estimate":[78],"unmeasured":[80],"states.":[81],"introduced":[86],"improve":[88],"efficiency":[90],"in":[91,113],"resource":[92],"utilization.":[93],"It":[94],"shown":[96],"that":[97],"tracking":[99],"can":[101],"converge":[102],"a":[104,120],"small":[105],"neighborhood":[106],"origin,":[109],"signals":[112],"closed-loop":[115],"bounded.":[118],"Finally,":[119],"physical":[121],"example":[122],"used":[124],"verify":[126],"feasibility":[128],"theoretical":[131],"results.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
