{"id":"https://openalex.org/W4407242344","doi":"https://doi.org/10.1007/s11063-025-11733-1","title":"Master\u2013Slave Finite-Time Synchronization of Chaotic Fractional-Order Neural Networks under Hybrid Sampled-Data Control: An LMI Approach","display_name":"Master\u2013Slave Finite-Time Synchronization of Chaotic Fractional-Order Neural Networks under Hybrid Sampled-Data Control: An LMI Approach","publication_year":2025,"publication_date":"2025-02-07","ids":{"openalex":"https://openalex.org/W4407242344","doi":"https://doi.org/10.1007/s11063-025-11733-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-025-11733-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11733-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11733-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11733-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057209675","display_name":"R. Kiruthika","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Kiruthika","raw_affiliation_strings":["Department of Mathematics, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045673988","display_name":"A. Manivannan","orcid":"https://orcid.org/0000-0001-8372-4175"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Manivannan","raw_affiliation_strings":["Department of Mathematics, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057209675"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":9.1901,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97414097,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"57","issue":"1","first_page":null,"last_page":null},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5894662141799927},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.568587064743042},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.544246256351471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5102763175964355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47495079040527344},{"id":"https://openalex.org/keywords/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.44183436036109924},{"id":"https://openalex.org/keywords/settling-time","display_name":"Settling time","score":0.4378425180912018},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.43534794449806213},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4106173515319824},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3883042633533478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35894888639450073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2272096574306488},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22348210215568542},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.18987524509429932},{"id":"https://openalex.org/keywords/step-response","display_name":"Step response","score":0.07496604323387146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07443293929100037}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5894662141799927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.568587064743042},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.544246256351471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102763175964355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47495079040527344},{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.44183436036109924},{"id":"https://openalex.org/C14781684","wikidata":"https://www.wikidata.org/wiki/Q3983320","display_name":"Settling time","level":3,"score":0.4378425180912018},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.43534794449806213},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4106173515319824},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3883042633533478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35894888639450073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2272096574306488},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22348210215568542},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18987524509429932},{"id":"https://openalex.org/C160030872","wikidata":"https://www.wikidata.org/wiki/Q2142864","display_name":"Step response","level":2,"score":0.07496604323387146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07443293929100037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-025-11733-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11733-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11733-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-025-11733-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11733-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11733-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319346","display_name":"Vellore Institute of Technology, Chennai","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407242344.pdf","grobid_xml":"https://content.openalex.org/works/W4407242344.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1969030425","https://openalex.org/W2000455125","https://openalex.org/W2009314399","https://openalex.org/W2030959812","https://openalex.org/W2055850236","https://openalex.org/W2056856365","https://openalex.org/W2103999702","https://openalex.org/W2620656452","https://openalex.org/W2735513498","https://openalex.org/W2887703549","https://openalex.org/W2890397319","https://openalex.org/W3006230032","https://openalex.org/W3016880264","https://openalex.org/W3026136379","https://openalex.org/W3035617291","https://openalex.org/W3123623255","https://openalex.org/W3131962740","https://openalex.org/W3216758006","https://openalex.org/W4229334100","https://openalex.org/W4289779205","https://openalex.org/W4293558706","https://openalex.org/W4297968961","https://openalex.org/W4308740996","https://openalex.org/W4309441441","https://openalex.org/W4317815887","https://openalex.org/W4318219129","https://openalex.org/W4319866182","https://openalex.org/W4321768047","https://openalex.org/W4384306289","https://openalex.org/W4385341686","https://openalex.org/W4385492242","https://openalex.org/W4390099416","https://openalex.org/W4390629295","https://openalex.org/W4390811404"],"related_works":["https://openalex.org/W1030049439","https://openalex.org/W4377820486","https://openalex.org/W2132353065","https://openalex.org/W3034585638","https://openalex.org/W2028427797","https://openalex.org/W4377825843","https://openalex.org/W2004708907","https://openalex.org/W2962749641","https://openalex.org/W2626571124","https://openalex.org/W3151916380"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"a":[4,8,53,60,84],"hybrid":[5,62],"controller":[6],"with":[7],"sampled":[9],"data":[10],"control":[11,125],"is":[12,28,50,90,98,127],"investigated":[13],"to":[14,30,92],"achieve":[15],"finite-time":[16,54],"master\u2013slave":[17],"synchronization":[18,138],"of":[19,46,122],"delayed":[20],"fractional-order":[21],"neural":[22],"networks":[23],"(DFONNs).":[24],"A":[25],"Lyapunov-Krasovskii":[26],"functional":[27],"constructed":[29],"obtain":[31],"the":[32,40,43,47,56,74,94,102,123,137],"sufficient":[33],"conditions":[34,66],"that":[35],"incorporate":[36],"delay":[37],"information.":[38],"For":[39],"first":[41],"time,":[42,96],"asymptotic":[44],"stability":[45],"error":[48],"system":[49],"guaranteed":[51],"in":[52,83,140],"using":[55],"inequality":[57],"technique":[58],"and":[59,135],"sampled-data":[61],"controller.":[63],"The":[64,119],"obtained":[65],"are":[67],"expressed":[68],"via":[69],"linear":[70],"matrix":[71],"inequality.":[72],"Notably,":[73],"proposed":[75,124],"approach":[76],"outperforms":[77],"existing":[78],"methods,":[79],"demonstrating":[80],"improved":[81],"results":[82],"comparative":[85],"analysis.":[86],"An":[87],"explicit":[88],"formula":[89],"utilized":[91],"calculate":[93],"settling":[95],"which":[97],"significantly":[99],"influenced":[100],"by":[101],"fractional":[103],"order":[104],"$$0&lt;\\beta":[105],"\\le":[106],"1$$":[107],"<mml:math":[108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[109],"<mml:mrow>":[110],"<mml:mn>0</mml:mn>":[111],"<mml:mo>&lt;</mml:mo>":[112],"<mml:mi>\u03b2</mml:mi>":[113],"<mml:mo>\u2264</mml:mo>":[114],"<mml:mn>1</mml:mn>":[115],"</mml:mrow>":[116],"</mml:math>":[117],".":[118],"superior":[120],"performance":[121],"method":[126],"evident,":[128],"showcasing":[129],"its":[130],"effectiveness":[131],"through":[132],"numerical":[133],"simulations":[134],"addressing":[136],"problem":[139],"DFONNs.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}