Fixed-Time Event-Triggered Impulsive Secure Synchronization of Quaternion-Valued Fuzzy Neural Networks Subject to Stochastic Cyber-Attacks
This article addresses the fixed-time event-triggered impulsive secure synchronization issue of a category of Takagi-Sugeno quaternion-valued fuzzy neural networks (QVFNNs) under stochastic cyber-attacks for the first time. To do this, dynamic event-triggered control, fuzzy rules, and impulsive cont...
Uloženo v:
| Vydáno v: | IEEE transactions on fuzzy systems Ročník 33; číslo 2; s. 559 - 569 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.02.2025
|
| Témata: | |
| ISSN: | 1063-6706, 1941-0034 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | This article addresses the fixed-time event-triggered impulsive secure synchronization issue of a category of Takagi-Sugeno quaternion-valued fuzzy neural networks (QVFNNs) under stochastic cyber-attacks for the first time. To do this, dynamic event-triggered control, fuzzy rules, and impulsive control are combined to create a well-designed event-triggered impulsive control scheme that can significantly decline the consumption cost and communication burden. Meanwhile, in virtue of two different and independent Bernoulli random variables, the stochastic cyber-attack model involving not only denial-of-service attacks but also deception attacks is introduced. Then, some algebraic criteria are deduced to accomplish fixed-time synchronization for the QVFNNs with or without stochastic cyber-attacks through the fuzzy set theory, Lyapunov functional method, and impulsive system theory. Furthermore, the nonexistence of the Zeno phenomenon can be guaranteed. Ultimately, an illustrative instance is revealed to manifest the correctness of the theoretical outcomes and the practicability of the current strategy. |
|---|---|
| AbstractList | This article addresses the fixed-time event-triggered impulsive secure synchronization issue of a category of Takagi-Sugeno quaternion-valued fuzzy neural networks (QVFNNs) under stochastic cyber-attacks for the first time. To do this, dynamic event-triggered control, fuzzy rules, and impulsive control are combined to create a well-designed event-triggered impulsive control scheme that can significantly decline the consumption cost and communication burden. Meanwhile, in virtue of two different and independent Bernoulli random variables, the stochastic cyber-attack model involving not only denial-of-service attacks but also deception attacks is introduced. Then, some algebraic criteria are deduced to accomplish fixed-time synchronization for the QVFNNs with or without stochastic cyber-attacks through the fuzzy set theory, Lyapunov functional method, and impulsive system theory. Furthermore, the nonexistence of the Zeno phenomenon can be guaranteed. Ultimately, an illustrative instance is revealed to manifest the correctness of the theoretical outcomes and the practicability of the current strategy. |
| Author | Bao, Haibo Liu, Lirong Cao, Jinde |
| Author_xml | – sequence: 1 givenname: Lirong orcidid: 0000-0003-4289-3620 surname: Liu fullname: Liu, Lirong organization: School of Mathematics and Statistics, Southwest University, Chongqing, China – sequence: 2 givenname: Haibo orcidid: 0000-0002-7958-7072 surname: Bao fullname: Bao, Haibo email: hbbao07@gmail.com organization: School of Mathematics and Statistics, Southwest University, Chongqing, China – sequence: 3 givenname: Jinde orcidid: 0000-0003-3133-7119 surname: Cao fullname: Cao, Jinde email: jdcao@seu.edu.cn organization: School of Mathematics, Southeast University, Nanjing, China |
| BookMark | eNp9kM9OwkAQhzdGExV9AeNhX2Bxt9uW7ZEQURKiMYAHLs2wneJCacnuFoVH8Kktfw7Gg6ffzOH7zeS7JudlVSIhd4K3heDJw7g_mU7bAQ_CtgxVFInojFyJJBSMcxmeNzOPJYs7PL4k184tOBdhJNQV-e6bL8zY2KyQPm6w9GxszXyOFjM6WK3rwpkN0hHq2jaxLfWHrUqzA2-qklY5favBoy2bjb1DUTdUv97ttvQFawtFE_6zsktHR_VsgdpTX9GRr_QHOG807W1naFnXe9BLd0Mucigc3p6yRSb9x3HvmQ1fnwa97pDpIFaeRYpngdQdmKmMA0RKoJAq1lmokiAECQnKJIMYEHRH5mGsoygGnSmVJFLkSrZIcOzVtnLOYp6urVmB3aaCp3ub6cFmureZnmw2kPoDaeMPFrwFU_yP3h9Rg4i_bnWkaD6TP4fmiQY |
| CODEN | IEFSEV |
| CitedBy_id | crossref_primary_10_1002_mma_10948 crossref_primary_10_1109_LCSYS_2025_3575194 crossref_primary_10_1002_rnc_70184 |
| Cites_doi | 10.1109/TSMC.2021.3124998 10.1109/TIP.2021.3128321 10.1109/TCYB.2023.3338165 10.1109/TSMC.2019.2931091 10.1109/TFUZZ.2021.3059953 10.1109/TNNLS.2022.3189625 10.1016/j.neunet.2021.11.023 10.1109/TFUZZ.2021.3051308 10.1016/j.knosys.2022.110013 10.1109/TSMC.1985.6313399 10.1016/j.neunet.2022.12.014 10.1109/TNNLS.2022.3217461 10.1109/72.846744 10.1109/TSMC.2024.3377213 10.1016/j.neunet.2023.11.022 10.1109/TNNLS.2019.2916597 10.1016/j.amc.2021.126542 10.1016/j.ins.2018.04.020 10.1109/TFUZZ.2023.3317031 10.1007/s11063-019-10178-7 10.1109/TCYB.2020.3025439 10.1109/TFUZZ.2023.3241151 10.1016/j.ins.2021.01.063 10.1109/TSMC.2017.2717866 10.1109/TCYB.2021.3049858 10.1109/TNNLS.2021.3054967 10.1109/TCYB.2019.2896340 10.1109/TSMC.2017.2776940 10.1109/TFUZZ.2023.3287202 10.1109/TCYB.2020.2975234 10.1016/j.neunet.2023.07.004 10.1109/TNSE.2021.3128244 10.1016/j.nahs.2022.101155 10.1109/TNNLS.2014.2320715 10.1016/j.jfranklin.2021.10.023 10.1007/s11571-019-09545-w 10.1016/j.neunet.2023.07.046 10.1016/j.chaos.2023.114341 10.1109/TCSII.2024.3361670 10.1016/j.neucom.2022.09.047 |
| ContentType | Journal Article |
| DBID | 97E RIA RIE AAYXX CITATION |
| DOI | 10.1109/TFUZZ.2024.3485515 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science |
| EISSN | 1941-0034 |
| EndPage | 569 |
| ExternalDocumentID | 10_1109_TFUZZ_2024_3485515 10731556 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: Natural Science Foundation of Chongqing grantid: CSTB2023NSCQ-MSX0688 funderid: 10.13039/501100005230 – fundername: National Natural Science Foundation of China grantid: 62373309; 12326311 funderid: 10.13039/501100001809 |
| GroupedDBID | -~X .DC 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P PQQKQ RIA RIE RNS TAE TN5 VH1 AAYXX CITATION |
| ID | FETCH-LOGICAL-c268t-580d23c7ab8d0aa581e1386cd48924a3a9e39da6aeac73f46c556acd889931f83 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001416196300013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1063-6706 |
| IngestDate | Sat Nov 29 03:12:49 EST 2025 Tue Nov 18 22:27:55 EST 2025 Wed Aug 27 01:53:12 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c268t-580d23c7ab8d0aa581e1386cd48924a3a9e39da6aeac73f46c556acd889931f83 |
| ORCID | 0000-0003-4289-3620 0000-0002-7958-7072 0000-0003-3133-7119 |
| PageCount | 11 |
| ParticipantIDs | crossref_citationtrail_10_1109_TFUZZ_2024_3485515 ieee_primary_10731556 crossref_primary_10_1109_TFUZZ_2024_3485515 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-02-01 |
| PublicationDateYYYYMMDD | 2025-02-01 |
| PublicationDate_xml | – month: 02 year: 2025 text: 2025-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | IEEE transactions on fuzzy systems |
| PublicationTitleAbbrev | TFUZZ |
| PublicationYear | 2025 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| References | ref13 ref35 ref12 ref34 ref15 ref37 ref14 ref36 ref31 ref30 ref11 ref33 ref10 ref32 ref2 ref17 ref39 ref16 ref38 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref41 ref22 ref21 Hamilton (ref1) 1866 ref28 ref27 ref29 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 |
| References_xml | – ident: ref32 doi: 10.1109/TSMC.2021.3124998 – ident: ref4 doi: 10.1109/TIP.2021.3128321 – ident: ref24 doi: 10.1109/TCYB.2023.3338165 – ident: ref8 doi: 10.1109/TSMC.2019.2931091 – ident: ref18 doi: 10.1109/TFUZZ.2021.3059953 – volume-title: Elements of Quaternions year: 1866 ident: ref1 – ident: ref10 doi: 10.1109/TNNLS.2022.3189625 – ident: ref9 doi: 10.1016/j.neunet.2021.11.023 – ident: ref22 doi: 10.1109/TFUZZ.2021.3051308 – ident: ref21 doi: 10.1016/j.knosys.2022.110013 – ident: ref41 doi: 10.1109/TSMC.1985.6313399 – ident: ref23 doi: 10.1016/j.neunet.2022.12.014 – ident: ref27 doi: 10.1109/TNNLS.2022.3217461 – ident: ref14 doi: 10.1109/72.846744 – ident: ref39 doi: 10.1109/TSMC.2024.3377213 – ident: ref34 doi: 10.1016/j.neunet.2023.11.022 – ident: ref6 doi: 10.1109/TNNLS.2019.2916597 – ident: ref26 doi: 10.1016/j.amc.2021.126542 – ident: ref35 doi: 10.1016/j.ins.2018.04.020 – ident: ref17 doi: 10.1109/TFUZZ.2023.3317031 – ident: ref12 doi: 10.1007/s11063-019-10178-7 – ident: ref13 doi: 10.1109/TCYB.2020.3025439 – ident: ref11 doi: 10.1109/TFUZZ.2023.3241151 – ident: ref40 doi: 10.1016/j.ins.2021.01.063 – ident: ref3 doi: 10.1109/TSMC.2017.2717866 – ident: ref15 doi: 10.1109/TCYB.2021.3049858 – ident: ref19 doi: 10.1109/TNNLS.2021.3054967 – ident: ref29 doi: 10.1109/TCYB.2019.2896340 – ident: ref5 doi: 10.1109/TSMC.2017.2776940 – ident: ref20 doi: 10.1109/TFUZZ.2023.3287202 – ident: ref33 doi: 10.1109/TCYB.2020.2975234 – ident: ref36 doi: 10.1016/j.neunet.2023.07.004 – ident: ref30 doi: 10.1109/TNSE.2021.3128244 – ident: ref31 doi: 10.1016/j.nahs.2022.101155 – ident: ref2 doi: 10.1109/TNNLS.2014.2320715 – ident: ref38 doi: 10.1016/j.jfranklin.2021.10.023 – ident: ref16 doi: 10.1007/s11571-019-09545-w – ident: ref37 doi: 10.1016/j.neunet.2023.07.046 – ident: ref7 doi: 10.1016/j.chaos.2023.114341 – ident: ref25 doi: 10.1109/TCSII.2024.3361670 – ident: ref28 doi: 10.1016/j.neucom.2022.09.047 |
| SSID | ssj0014518 |
| Score | 2.4838436 |
| Snippet | This article addresses the fixed-time event-triggered impulsive secure synchronization issue of a category of Takagi-Sugeno quaternion-valued fuzzy neural... |
| SourceID | crossref ieee |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 559 |
| SubjectTerms | Artificial neural networks Cyberattack Delays Event detection Event-triggered impulsive control (ETIC) fixed-time synchronization Fuzzy neural networks quaternion-valued fuzzy neural networks (QVFNNs) Quaternions Stability criteria stochastic cyber-attacks Stochastic processes Synchronization Vectors |
| Title | Fixed-Time Event-Triggered Impulsive Secure Synchronization of Quaternion-Valued Fuzzy Neural Networks Subject to Stochastic Cyber-Attacks |
| URI | https://ieeexplore.ieee.org/document/10731556 |
| Volume | 33 |
| WOSCitedRecordID | wos001416196300013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1941-0034 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014518 issn: 1063-6706 databaseCode: RIE dateStart: 19930101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Nb9QwELVoxQEOFEoRpaXygRtyceLEH8eqagSXVRFbVPUSOfYEKq02aJsgtj-BX82Mk632AhKnfMiWrLzY4xnPm8fYOw-utGBwfoNuBFq8UjQBGhGdbVoZQEKwSWzCzGb2-tpdTmT1xIUBgJR8Bqd0m87yYxcGCpXhDDcK7Z_eYTvGmJGs9XBkUJTZyHvTSmgj9YYhI92HeXV1c4O-YF6cKiqGQhq4W1ZoS1YlWZVq7z_H85w9m7aP_GzE-wV7BMt9treRZuDTTN1nT7fqDL5kv6vbXxAF0T34BSU4ijk65d9IppN_wq4LymHnKfSOl_UypIq5I0GTdy3_PHiKG-KT-OoXA_aqhvv7NafKHjia2ZhKfsdxFaKwDu87_qXvwndPRaD5-bqBlTjre6LzH7Cr6mJ-_lFMIgwi5Nr2orQy5ioY39govS9tBpmyOsTCouvmlXegXPTa4wpuVFvogB_Eh2jRkVNZa9UrtrvslvCa8ca3uYsxsy3u0pxUtighSI3LTHBlUfhDlm1AqcNUoZyEMhZ18lSkqxOQNQFZT0AesvcPfX6M9Tn-2fqAUNxqOQL45i_vj9iTnPR-U5b2MdvtVwO8ZY_Dz_72bnWS_r8_eIbbSg |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Nb9QwEB1BQaIcKJRWFAr4wA25OHHi2MeqatSKsgKxRVUvkWNPoNJqg7YJYvsT-NWMnWy1FypxyodsycqLPZ7xvHkA7yyaXGNB8xtVzcni5bx2WHNvdN0IhwKdjmITxWSiLy7M55GsHrkwiBiTz_Ag3MazfN-6PoTKaIYXkuyfug8P8ixLk4GudXtokOXJwHxTkqtCqBVHRpgP0_L88pK8wTQ7kKEcSlDBXbNDa8Iq0a6UW_85oqfwZNxAssMB8WdwD-fbsLUSZ2DjXN2Gx2uVBp_Dn_LqN3oeCB_sOKQ48im55d-DUCc7pa6zkMXOYvCdLsu5izVzB4omaxv2pbchckhP_Jud9dSr7G9ulizU9qDRTIZk8mtG61AI7LCuZV-71v2woQw0O1rWuOCHXRcI_TtwXh5Pj074KMPAXap0x3MtfCpdYWvthbW5TjCRWjmfaXLerLQGpfFWWVrDC9lkytEHsc5rcuVk0mi5Cxvzdo4vgNW2SY33iW5on2aE1FmOTihaaJwhRO0eJCtQKjfWKA9SGbMq-irCVBHIKgBZjUDuwfvbPj-HCh13tt4JKK61HAB8-Y_3b-HRyfTTWXV2Ovn4CjbToP4bc7b3YaNb9PgaHrpf3dX14k38F_8CBXLekQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Fixed-Time+Event-Triggered+Impulsive+Secure+Synchronization+of+Quaternion-Valued+Fuzzy+Neural+Networks+Subject+to+Stochastic+Cyber-Attacks&rft.jtitle=IEEE+transactions+on+fuzzy+systems&rft.au=Liu%2C+Lirong&rft.au=Bao%2C+Haibo&rft.au=Cao%2C+Jinde&rft.date=2025-02-01&rft.issn=1063-6706&rft.eissn=1941-0034&rft.volume=33&rft.issue=2&rft.spage=559&rft.epage=569&rft_id=info:doi/10.1109%2FTFUZZ.2024.3485515&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TFUZZ_2024_3485515 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1063-6706&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1063-6706&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1063-6706&client=summon |