{"id":"https://openalex.org/W2153765205","doi":"https://doi.org/10.1109/tnnls.2014.2322499","title":"Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks","display_name":"Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks","publication_year":2015,"publication_date":"2015-01-23","ids":{"openalex":"https://openalex.org/W2153765205","doi":"https://doi.org/10.1109/tnnls.2014.2322499","mag":"2153765205","pmid":"https://pubmed.ncbi.nlm.nih.gov/25794379"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2014.2322499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2014.2322499","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/A5020014838","display_name":"Wu\u2010Hua Chen","orcid":"https://orcid.org/0000-0002-7381-1969"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]},{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wu-Hua Chen","raw_affiliation_strings":["College of Mathematics and Information Science, Guangxi University, Guangxi, China","School of Mathematics and Statistics, Hubei Normal University, Hubei, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Guangxi University, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Hubei Normal University, Hubei, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723789","display_name":"Xiaomei Lu","orcid":"https://orcid.org/0000-0002-5431-983X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Lu","raw_affiliation_strings":["College of Mathematics and Information Science, Guangxi University, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Guangxi University, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050907","display_name":"Wei Xing Zheng","orcid":"https://orcid.org/0000-0002-0572-5938"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xing Zheng","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, University of Western Sydney, Penrith, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, University of Western Sydney, Penrith, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020014838"],"corresponding_institution_ids":["https://openalex.org/I150807315","https://openalex.org/I4210165606"],"apc_list":null,"apc_paid":null,"fwci":27.3816,"has_fulltext":false,"cited_by_count":185,"citation_normalized_percentile":{"value":0.9965701,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"4","first_page":"734","last_page":"748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9955999851226807,"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/synchronizing","display_name":"Synchronizing","score":0.8297742605209351},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.799997866153717},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6814471483230591},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5000724792480469},{"id":"https://openalex.org/keywords/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.49515238404273987},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4942531883716583},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.48975539207458496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45811691880226135},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.4525638222694397},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.45051828026771545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44621968269348145},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3263968229293823},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.2784385681152344},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.2618664503097534},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1573362648487091},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10057464241981506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05403435230255127}],"concepts":[{"id":"https://openalex.org/C162932704","wikidata":"https://www.wikidata.org/wiki/Q1058791","display_name":"Synchronizing","level":3,"score":0.8297742605209351},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.799997866153717},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6814471483230591},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5000724792480469},{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.49515238404273987},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4942531883716583},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.48975539207458496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45811691880226135},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.4525638222694397},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.45051828026771545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44621968269348145},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3263968229293823},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.2784385681152344},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2618664503097534},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1573362648487091},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10057464241981506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05403435230255127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2014.2322499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2014.2322499","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:25794379","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25794379","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/G4441159297","display_name":null,"funder_award_id":"2011GXNSFA018141","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G7744851406","display_name":null,"funder_award_id":"61164016","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"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1788827550","https://openalex.org/W1964055056","https://openalex.org/W1964080055","https://openalex.org/W1965992231","https://openalex.org/W1970038146","https://openalex.org/W1988027676","https://openalex.org/W1990612911","https://openalex.org/W2017926004","https://openalex.org/W2023361699","https://openalex.org/W2023458766","https://openalex.org/W2026592736","https://openalex.org/W2031780690","https://openalex.org/W2041310822","https://openalex.org/W2042262425","https://openalex.org/W2048051204","https://openalex.org/W2052234898","https://openalex.org/W2062210787","https://openalex.org/W2064505746","https://openalex.org/W2074145140","https://openalex.org/W2080320239","https://openalex.org/W2084192127","https://openalex.org/W2085172627","https://openalex.org/W2092587774","https://openalex.org/W2093296301","https://openalex.org/W2093789877","https://openalex.org/W2096257444","https://openalex.org/W2104027563","https://openalex.org/W2108548330","https://openalex.org/W2112598979","https://openalex.org/W2126341830","https://openalex.org/W2128084896","https://openalex.org/W2129332069","https://openalex.org/W2129609383","https://openalex.org/W2134152545","https://openalex.org/W2138273157","https://openalex.org/W2154370972","https://openalex.org/W2155414386","https://openalex.org/W2156987334","https://openalex.org/W2157679697","https://openalex.org/W2160121923","https://openalex.org/W2167293229","https://openalex.org/W2168543201","https://openalex.org/W2170767382","https://openalex.org/W3146921954","https://openalex.org/W3210839039","https://openalex.org/W6638276581","https://openalex.org/W6680475422"],"related_works":["https://openalex.org/W56798981","https://openalex.org/W2353818446","https://openalex.org/W2144480502","https://openalex.org/W1977769785","https://openalex.org/W1982395938","https://openalex.org/W2526014012","https://openalex.org/W2130755296","https://openalex.org/W2268002914","https://openalex.org/W2180491952","https://openalex.org/W2765710841"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,28,34,71,79,85,93,133,136,151],"problems":[4],"of":[5,11,19,37,59,70,73,81,95,135,139,145,150],"impulsive":[6,9,39,82,98,105,116,140,143,153],"stabilization":[7,141],"and":[8,44,142],"synchronization":[10,106,117,144,154],"discrete-time":[12,38],"delayed":[13,40],"neural":[14,41],"networks":[15,42],"(DDNNs).":[16],"Two":[17],"types":[18],"DDNNs":[20,111,123,160],"with":[21,124],"stabilizing":[22],"impulses":[23],"are":[24,55,68,100,129],"studied.":[25],"By":[26],"introducing":[27],"time-varying":[29],"Lyapunov":[30],"functional":[31],"to":[32,131,161],"capture":[33],"dynamical":[35],"characteristics":[36],"(DIDNNs)":[43],"by":[45],"using":[46],"a":[47,103,162],"convex":[48],"combination":[49],"technique,":[50],"new":[51],"exponential":[52],"stability":[53,64,88],"criteria":[54,65,138],"derived":[56],"in":[57],"terms":[58],"linear":[60],"matrix":[61],"inequalities.":[62],"The":[63,114],"for":[66,108,156],"DIDNNs":[67],"independent":[69],"size":[72],"time":[74],"delay":[75],"but":[76],"rely":[77],"on":[78,92],"lengths":[80],"intervals.":[83],"With":[84],"newly":[86],"obtained":[87,152],"results,":[89],"sufficient":[90],"conditions":[91],"existence":[94],"linear-state":[96],"feedback":[97],"controllers":[99],"derived.":[101],"Moreover,":[102],"novel":[104,115],"scheme":[107,118,165],"two":[109,121,157],"identical":[110,122,158],"is":[112,166],"proposed.":[113],"allows":[119],"synchronizing":[120],"unknown":[125],"delays.":[126],"Simulation":[127],"results":[128],"given":[130],"validate":[132],"effectiveness":[134],"proposed":[137],"DDNNs.":[146],"Finally,":[147],"an":[148],"application":[149],"result":[155],"chaotic":[159],"secure":[163],"communication":[164],"presented.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":3}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
