{"id":"https://openalex.org/W4407949458","doi":"https://doi.org/10.1109/cdc56724.2024.10886534","title":"Further stability analysis of delayed neural networks based on novel activation function dependent Lyapunov-Krasovskii Functional","display_name":"Further stability analysis of delayed neural networks based on novel activation function dependent Lyapunov-Krasovskii Functional","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407949458","doi":"https://doi.org/10.1109/cdc56724.2024.10886534"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-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/A5082812822","display_name":"Jun Hui Lee","orcid":"https://orcid.org/0000-0003-1155-8491"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jun Hui Lee","raw_affiliation_strings":["POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784"],"affiliations":[{"raw_affiliation_string":"POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058202538","display_name":"Hyeon-Woo Na","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Woo Na","raw_affiliation_strings":["POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784"],"affiliations":[{"raw_affiliation_string":"POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002746727","display_name":"Hae Seong Lee","orcid":"https://orcid.org/0000-0003-4195-1999"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae Seong Lee","raw_affiliation_strings":["POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784"],"affiliations":[{"raw_affiliation_string":"POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088952968","display_name":"PooGyeon Park","orcid":"https://orcid.org/0000-0002-8249-5427"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"PooGyeon Park","raw_affiliation_strings":["POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784"],"affiliations":[{"raw_affiliation_string":"POSTECH,Department of Electrical Engineering,Pohang,Gyeongbuk,Republic of Korea,790-784","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082812822"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32773882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5126","last_page":"5131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9909999966621399,"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":0.9909999966621399,"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/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9670000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.684672474861145},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6196086406707764},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5729633569717407},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.564274787902832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4955242872238159},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47943681478500366},{"id":"https://openalex.org/keywords/functional-analysis","display_name":"Functional analysis","score":0.46475210785865784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25305408239364624},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.17572158575057983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1415056586265564},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13788461685180664},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.10484740138053894},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09095931053161621}],"concepts":[{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.684672474861145},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6196086406707764},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5729633569717407},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.564274787902832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4955242872238159},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47943681478500366},{"id":"https://openalex.org/C55112680","wikidata":"https://www.wikidata.org/wiki/Q190549","display_name":"Functional analysis","level":3,"score":0.46475210785865784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25305408239364624},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.17572158575057983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1415056586265564},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13788461685180664},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.10484740138053894},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09095931053161621},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2032299562","https://openalex.org/W2051820947","https://openalex.org/W2056717940","https://openalex.org/W2410966350","https://openalex.org/W2546546403","https://openalex.org/W2748720724","https://openalex.org/W2790032124","https://openalex.org/W2808918086","https://openalex.org/W2908650617","https://openalex.org/W2966550257","https://openalex.org/W3005086795","https://openalex.org/W3029380435","https://openalex.org/W3041425458","https://openalex.org/W3082335888","https://openalex.org/W3089439483","https://openalex.org/W3115888283","https://openalex.org/W3126788725","https://openalex.org/W4224247871","https://openalex.org/W4281759871","https://openalex.org/W4313367686","https://openalex.org/W4318479296","https://openalex.org/W4328052617","https://openalex.org/W4368370474","https://openalex.org/W4377943124","https://openalex.org/W4383903995"],"related_works":["https://openalex.org/W3110577345","https://openalex.org/W2946235959","https://openalex.org/W2902935192","https://openalex.org/W3134817226","https://openalex.org/W4318066384","https://openalex.org/W3034021666","https://openalex.org/W2898900925","https://openalex.org/W3170224572","https://openalex.org/W4393036827","https://openalex.org/W3137729713"],"abstract_inverted_index":{"This":[0,43],"paper":[1],"addresses":[2],"the":[3,14,23,39,48,65,71,75,81,88,97,129],"stability":[4,40,61,122,131],"analysis":[5,41],"problem":[6],"of":[7,22,74,83,90,96,101,115,128],"Delayed":[8],"Neural":[9],"Networks":[10],"(DNNs)":[11],"based":[12,105,109],"on":[13,35,106,110],"Lyapunov":[15],"Krasovskii":[16],"functional":[17],"(LKF)":[18],"approach.":[19],"The":[20,113,124],"introduction":[21],"novel":[24],"activation":[25,36],"function-dependent":[26],"double":[27],"integral":[28,51,77,107],"LKFs":[29],"(AFDLKFs)":[30],"incorporates":[31],"additional":[32],"constraint":[33],"information":[34],"function":[37],"into":[38],"process.":[42],"information,":[44],"not":[45],"considered":[46],"in":[47,57,87],"conventional":[49],"single":[50,76],"LKFs,":[52],"plays":[53],"a":[54,136],"crucial":[55],"role":[56],"deriving":[58],"less":[59],"conservative":[60],"criteria.":[62,123],"Additionally,":[63],"leveraging":[64],"bound":[66,73],"lemma":[67],"for":[68],"line":[69],"integral,":[70],"upper":[72],"terms":[78],"arising":[79],"from":[80],"derivative":[82],"AFDLKFs":[84],"are":[85,133],"approximated":[86],"form":[89],"linear":[91],"matrix":[92],"inequalities.":[93],"Furthermore,":[94],"relaxation":[95],"positive":[98],"definite":[99],"condition":[100],"LKF":[102],"is":[103],"achieved":[104],"inequalities":[108],"free":[111],"matrices.":[112],"combination":[114],"these":[116],"two":[117],"techniques":[118],"leads":[119],"to":[120],"improved":[121],"advantages":[125],"and":[126],"effectiveness":[127],"proposed":[130],"criteria":[132],"demonstrated":[134],"through":[135],"numerical":[137],"example.":[138]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
