{"id":"https://openalex.org/W3011116213","doi":"https://doi.org/10.1080/0952813x.2020.1737244","title":"Global exponential stability of anti-periodic solutions for discontinuous Cohen\u2013Grossberg neural networks with time-varying delays","display_name":"Global exponential stability of anti-periodic solutions for discontinuous Cohen\u2013Grossberg neural networks with time-varying delays","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011116213","doi":"https://doi.org/10.1080/0952813x.2020.1737244","mag":"3011116213"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2020.1737244","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2020.1737244","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5109674531","display_name":"Chengfeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengfeng Xu","raw_affiliation_strings":["Jiujiang University","College of Science, Jiujiang University, Jiujiang, Jiangxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiujiang University","institution_ids":["https://openalex.org/I134626604"]},{"raw_affiliation_string":"College of Science, Jiujiang University, Jiujiang, Jiangxi, P.R. China","institution_ids":["https://openalex.org/I134626604"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101622840","display_name":"Fanchao Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanchao Kong","raw_affiliation_strings":["Anhui Normal University","School of Mathematics and Statistics, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Normal University","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101622840"],"corresponding_institution_ids":["https://openalex.org/I4472751"],"apc_list":null,"apc_paid":null,"fwci":0.3091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5904367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":"2","first_page":"263","last_page":"281"},"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":0.9902999997138977,"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":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.8274725675582886},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.6714499592781067},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6322063207626343},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5840265154838562},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5547510385513306},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.44877469539642334},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.42591649293899536},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4128956198692322},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34836387634277344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31082144379615784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17442730069160461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13048577308654785},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.1245458722114563},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08339664340019226},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07153928279876709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274725675582886},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.6714499592781067},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6322063207626343},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5840265154838562},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5547510385513306},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.44877469539642334},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.42591649293899536},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4128956198692322},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34836387634277344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31082144379615784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17442730069160461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13048577308654785},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.1245458722114563},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08339664340019226},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07153928279876709},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2020.1737244","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2020.1737244","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1551360398","https://openalex.org/W1974316146","https://openalex.org/W1975193926","https://openalex.org/W1987141063","https://openalex.org/W1992652478","https://openalex.org/W2004677620","https://openalex.org/W2010709227","https://openalex.org/W2011815005","https://openalex.org/W2029678434","https://openalex.org/W2056457592","https://openalex.org/W2059311322","https://openalex.org/W2062210787","https://openalex.org/W2067901519","https://openalex.org/W2071095458","https://openalex.org/W2080855845","https://openalex.org/W2157138121","https://openalex.org/W2608569389","https://openalex.org/W2900942667","https://openalex.org/W2946065103","https://openalex.org/W2955288972","https://openalex.org/W2963421642","https://openalex.org/W4210718478","https://openalex.org/W4293078920"],"related_works":["https://openalex.org/W2352833050","https://openalex.org/W3154552533","https://openalex.org/W2357598437","https://openalex.org/W2725114157","https://openalex.org/W2055517780","https://openalex.org/W2786758501","https://openalex.org/W2083923108","https://openalex.org/W2370683725","https://openalex.org/W2950668074","https://openalex.org/W2156201628"],"abstract_inverted_index":{"This":[0],"paper":[1,89],"presents":[2],"a":[3],"class":[4],"of":[5,20,34,66,113,125],"Cohen\u2013Grossberg":[6],"neural":[7],"networks":[8],"(CGNNs)":[9],"with":[10,41,74],"discontinuous":[11,42,75,100],"activations":[12,43,76],"and":[13,44,77,108],"time-varying":[14,45,78],"delays.":[15,46,79],"Firstly,":[16],"under":[17],"the":[18,31,35,38,50,62,67,71,81,84,88,91,96,99,123],"framework":[19],"Filippov":[21],"solution,":[22],"we":[23],"derive":[24],"some":[25,54,102],"general":[26],"sufficient":[27,56],"conditions":[28],"to":[29,37,60,121],"guarantee":[30],"global":[32],"existence":[33],"solutions":[36],"proposed":[39],"CGNNs":[40,73],"Then,":[47],"by":[48],"constructing":[49],"new":[51,55],"Lyapunov\u2013Krasovskii":[52],"functional,":[53],"criteria":[57],"are":[58,90,106,118],"given":[59],"ascertain":[61],"globally":[63],"exponential":[64],"stability":[65],"anti-periodic":[68,97],"solution":[69],"for":[70,98],"considered":[72],"To":[80],"authors\u2019":[82],"knowledge,":[83],"results":[85,94,105,112],"established":[86],"in":[87],"only":[92],"available":[93],"on":[95],"CGNNs;":[101],"previously":[103],"known":[104],"extended":[107],"complemented.":[109],"Finally,":[110],"simulation":[111],"two":[114],"typical":[115],"numerical":[116],"examples":[117],"also":[119],"delineated":[120],"demonstrate":[122],"effectiveness":[124],"our":[126],"theoretical":[127],"results.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2025-10-10T00:00:00"}
