{"id":"https://openalex.org/W4407316440","doi":"https://doi.org/10.1109/tnnls.2025.3528118","title":"Persistent Excitation of Improved RBF Neural Networks: Neuron Dynamic-Growing Strategy","display_name":"Persistent Excitation of Improved RBF Neural Networks: Neuron Dynamic-Growing Strategy","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407316440","doi":"https://doi.org/10.1109/tnnls.2025.3528118","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031692"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3528118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3528118","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/A5100711052","display_name":"Min Wang","orcid":"https://orcid.org/0000-0001-7025-7651"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7025-7651","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350105","display_name":"Mingyu Wang","orcid":"https://orcid.org/0000-0002-1868-3220"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Wang","raw_affiliation_strings":["School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1868-3220","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Yang","raw_affiliation_strings":["School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5255-5559","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":8.376,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97024186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"8","first_page":"15553","last_page":"15560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5884000062942505,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5884000062942505,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6620415449142456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5311604738235474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40537264943122864}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6620415449142456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5311604738235474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40537264943122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3528118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3528118","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:40031692","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031692","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/G1407843300","display_name":null,"funder_award_id":"2023B1515120019","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2321388553","display_name":null,"funder_award_id":"U24A20329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2328900139","display_name":null,"funder_award_id":"2022B1515120003","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G2417950235","display_name":null,"funder_award_id":"62273156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5560308368","display_name":null,"funder_award_id":"2022B1515120003","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5794488878","display_name":null,"funder_award_id":"2023B1515120019","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1998034343","https://openalex.org/W2023940194","https://openalex.org/W2057423886","https://openalex.org/W2084122929","https://openalex.org/W2084489972","https://openalex.org/W2172270388","https://openalex.org/W2342765613","https://openalex.org/W2569757722","https://openalex.org/W2738226240","https://openalex.org/W2914999118","https://openalex.org/W2962680637","https://openalex.org/W2966786344","https://openalex.org/W2984769036","https://openalex.org/W3027251624","https://openalex.org/W3047892733","https://openalex.org/W3110363133","https://openalex.org/W3116496379","https://openalex.org/W3124444594","https://openalex.org/W3128440171","https://openalex.org/W3175938478","https://openalex.org/W3215482604","https://openalex.org/W4200178098","https://openalex.org/W4225354680","https://openalex.org/W4295898027","https://openalex.org/W4310467047","https://openalex.org/W4360594686","https://openalex.org/W4385494101","https://openalex.org/W4389166433","https://openalex.org/W4390110413","https://openalex.org/W4390110424","https://openalex.org/W4390368029","https://openalex.org/W4391287658","https://openalex.org/W4393991907","https://openalex.org/W4400100564","https://openalex.org/W4402929520"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"brief":[1],"proposes":[2],"a":[3,95],"novel":[4],"neuron":[5,19,59,107],"dynamic-growing":[6],"(NDG)":[7],"strategy":[8,63],"for":[9,41,83,98],"radial":[10],"basis":[11],"function":[12],"neural":[13],"networks":[14],"(RBF":[15],"NNs).":[16],"Only":[17],"one":[18,73],"is":[20,74,92,129],"selected":[21],"in":[22],"advance":[23],"relying":[24],"on":[25,37],"the":[26,38,42,45,50,55,65,78,84,90,99,106,110,116,121,125,135,138,150,156,163,168],"system":[27],"initial":[28],"states,":[29],"and":[30,49,89,109,137,145,171],"other":[31,91],"neurons":[32],"are":[33],"dynamically":[34],"generated":[35],"based":[36],"designed":[39],"threshold":[40,136],"distance":[43],"between":[44],"current":[46],"NN":[47,57,68,87,102,153],"input":[48],"closest":[51],"neuron.":[52],"Compared":[53],"with":[54],"RBF":[56,67,123,152],"using":[58],"fixed":[60],"evenly":[61],"spaced":[62],"(NFES),":[64],"improved":[66,122,151],"has":[69],"two":[70],"major":[71],"advantages:":[72],"to":[75,93],"extremely":[76],"reduce":[77],"number":[79],"of":[80,101,120,140],"neurons,":[81],"especially":[82],"high":[85],"dimensional":[86],"inputs;":[88],"provide":[94],"theoretical":[96],"criteria":[97],"choice":[100],"structure":[103],"parameters":[104],"including":[105],"center":[108,139],"compact":[111],"set":[112],"size.":[113],"To":[114],"guarantee":[115],"dynamic":[117,158],"learning":[118,159],"ability":[119],"NN,":[124],"persistent":[126],"excitation":[127],"(PE)":[128],"verified":[130],"strictly":[131],"by":[132],"subtly":[133],"constructing":[134],"newly":[141],"added":[142],"neurons.":[143],"Simulation":[144],"experimental":[146],"results":[147],"illustrate":[148],"that":[149],"integrated":[154],"into":[155],"existing":[157],"control":[160,165],"effectively":[161],"enhances":[162],"transient":[164],"performance,":[166],"reduces":[167],"computational":[169],"burden,":[170],"saves":[172],"data":[173],"storage":[174],"space.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
