A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems

A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism can realize the privacy preservation in the user-defined time, which can improve the encryption capability and mitigate the impact on system p...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on network science and engineering Vol. 11; no. 1; pp. 1 - 11
Main Authors Wang, Min, Liang, Hongjing, Pan, Yingnan, Xie, Xiangpeng
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Control systems
Disturbance observers
Iterative disturbance observer
Mathematical models
Multiagent systems
Power system stability
Privacy
privacy preservation
Stability analysis
System performance
the setting time mask function
Upper bound
Online AccessGet full text

Cover

Abstract A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism can realize the privacy preservation in the user-defined time, which can improve the encryption capability and mitigate the impact on system performance. More specifically, a setting time mask function is constructed, and it is used as the transformed function so that the whole system is imposed with privacy protection rather than partial protection. Furthermore, a gain iterative disturbance observer is designed in this paper, which can improve the control accuracy of the system. Based on the negative gradient optimization concept, a gain iteration mechanism is constructed instead of utilizing a constant as the gain of the disturbance function, which extends the performance to adjust system control accuracy on the basis of the original disturbance observer. Finally, the effectiveness of the proposed mechanism is illustrated by a simulation example.
AbstractList A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism can realize the privacy preservation in the user-defined time, which can improve the encryption capability and mitigate the impact on system performance. More specifically, a setting time mask function is constructed, and it is used as the transformed function so that the whole system is imposed with privacy protection rather than partial protection. Furthermore, a gain iterative disturbance observer is designed in this article, which can improve the control accuracy of the system. Based on the negative gradient optimization concept, a gain iteration mechanism is constructed instead of utilizing a constant as the gain of the disturbance function, which extends the performance to adjust system control accuracy on the basis of the original disturbance observer. Finally, the effectiveness of the proposed mechanism is illustrated by a simulation example.
A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism can realize the privacy preservation in the user-defined time, which can improve the encryption capability and mitigate the impact on system performance. More specifically, a setting time mask function is constructed, and it is used as the transformed function so that the whole system is imposed with privacy protection rather than partial protection. Furthermore, a gain iterative disturbance observer is designed in this paper, which can improve the control accuracy of the system. Based on the negative gradient optimization concept, a gain iteration mechanism is constructed instead of utilizing a constant as the gain of the disturbance function, which extends the performance to adjust system control accuracy on the basis of the original disturbance observer. Finally, the effectiveness of the proposed mechanism is illustrated by a simulation example.
Author Liang, Hongjing
Pan, Yingnan
Wang, Min
Xie, Xiangpeng
Author_xml – sequence: 1
  givenname: Min
  orcidid: 0000-0001-6876-0848
  surname: Wang
  fullname: Wang, Min
  organization: College of Control Science and Engineering, Bohai University, Jinzhou, Liaoning, China
– sequence: 2
  givenname: Hongjing
  orcidid: 0000-0003-1480-1872
  surname: Liang
  fullname: Liang, Hongjing
  organization: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
– sequence: 3
  givenname: Yingnan
  orcidid: 0000-0002-7603-4333
  surname: Pan
  fullname: Pan, Yingnan
  organization: College of Control Science and Engineering, Bohai University, Jinzhou, Liaoning, China
– sequence: 4
  givenname: Xiangpeng
  orcidid: 0000-0003-4822-3134
  surname: Xie
  fullname: Xie, Xiangpeng
  organization: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China
BookMark eNp9kE1PAjEQhhuDiYj-ABMPTTwvtp1ld3skqGgCaCIHb5vSnWoJdLEtGP69u8LBePA0M5n3mY_3nHRc7ZCQK876nDN5O5-93vcFE9AHIWXG0xPSFQBp0pRvnTYXeZJmMj8jlyEsGWNcFBkAdAkO6Qy_6Iu3O6X3TcSAfqeirR2dov5QzoY1Va6iio6VdfQpom_aO6R3NsStXyinkT4vWgw9NbWn0-0qWvWOLtLXfYi4Dhfk1KhVwMtj7JH5w_189JhMnsdPo-Ek0UKmMVHSCBT5ohpoVvH2xlRDxiswQnCQChZQDKRGkGBMOjBMV2ZQVFKaImMpQI_cHMZufP25xRDLZb31rtlYCsl5WjCW5Y0qP6i0r0PwaEpt48_H0Su7KjkrW1fL1tWydbU8utqQ_A-58Xat_P5f5vrAWET8pecyF4LBN7PThPU
CODEN ITNSD5
CitedBy_id crossref_primary_10_1016_j_physa_2024_130227
crossref_primary_10_1109_TCYB_2024_3486934
crossref_primary_10_1007_s00034_024_02599_0
crossref_primary_10_1109_TSMC_2024_3493241
crossref_primary_10_1016_j_neunet_2024_106251
crossref_primary_10_1109_TFUZZ_2024_3364360
crossref_primary_10_1016_j_cnsns_2025_108693
crossref_primary_10_1007_s11431_023_2607_8
crossref_primary_10_1109_TFUZZ_2024_3363839
crossref_primary_10_1007_s13042_023_02033_y
crossref_primary_10_1007_s10489_024_05306_3
crossref_primary_10_1007_s40815_024_01680_9
crossref_primary_10_1109_TAES_2024_3371406
crossref_primary_10_1016_j_isatra_2024_06_029
crossref_primary_10_3934_math_2024680
crossref_primary_10_1002_asjc_3339
crossref_primary_10_1002_rnc_7445
crossref_primary_10_1109_TSMC_2024_3426931
crossref_primary_10_1002_rnc_7367
crossref_primary_10_1007_s11431_024_2758_6
crossref_primary_10_1109_TASE_2024_3411074
crossref_primary_10_1109_TFUZZ_2024_3364245
crossref_primary_10_1109_ACCESS_2024_3352732
crossref_primary_10_1007_s40815_024_01801_4
crossref_primary_10_1080_00207721_2024_2331810
crossref_primary_10_1007_s00034_024_02713_2
crossref_primary_10_1016_j_oceaneng_2024_118194
crossref_primary_10_1109_TSMC_2024_3516048
crossref_primary_10_1007_s11431_023_2551_y
crossref_primary_10_1002_asjc_3523
crossref_primary_10_1002_rnc_7313
crossref_primary_10_1016_j_jfranklin_2024_107158
crossref_primary_10_1002_asjc_3394
crossref_primary_10_1002_asjc_3357
crossref_primary_10_1080_00207721_2024_2313653
crossref_primary_10_1007_s00034_024_02639_9
crossref_primary_10_1016_j_jprocont_2024_103181
crossref_primary_10_1007_s12555_024_0073_3
crossref_primary_10_1007_s40815_024_01810_3
crossref_primary_10_1002_rnc_7103
crossref_primary_10_1177_01423312241291288
crossref_primary_10_1002_asjc_3318
crossref_primary_10_1109_TSMC_2025_3526969
crossref_primary_10_1002_asjc_3342
crossref_primary_10_1002_acs_3710
crossref_primary_10_1109_TSMC_2024_3417186
crossref_primary_10_1109_TSMC_2024_3451694
crossref_primary_10_1002_acs_3673
crossref_primary_10_1002_acs_3872
crossref_primary_10_1080_00207179_2024_2321946
crossref_primary_10_1109_TSMC_2023_3325959
crossref_primary_10_1016_j_cnsns_2024_108356
crossref_primary_10_1109_TCYB_2023_3337792
Cites_doi 10.1109/TNSE.2020.2985096
10.1016/j.jfranklin.2022.04.028
10.1109/TNSE.2022.3164833
10.1109/TSMC.2018.2812216
10.1016/j.neucom.2021.10.019
10.1016/j.automatica.2020.109253
10.1109/TIE.2018.2815942
10.1109/TNSE.2020.3017389
10.1109/TIE.2021.3120442
10.1109/TIE.2017.2739683
10.1016/j.automatica.2019.04.029
10.1109/TSMC.2019.2894171
10.1109/TAC.2021.3105322
10.1109/TCYB.2017.2667680
10.1016/j.ymssp.2018.11.001
10.1109/TNNLS.2022.3169518
10.1109/TCYB.2021.3074566
10.1016/j.automatica.2020.109283
10.1109/JIOT.2018.2842773
10.1109/TNSE.2021.3077766
10.1109/TII.2022.3162855
10.1109/TNNLS.2021.3072784
10.1109/TNNLS.2019.2917137
10.1109/TSMC.2019.2958861
10.1109/TAC.2021.3108123
10.1109/TCYB.2020.2969499
10.1109/TNSE.2021.3121727
10.1109/TIE.2011.2160140
10.1109/TNNLS.2013.2238554
10.1109/TCYB.2021.3070356
10.1109/TII.2022.3141428
10.1109/TCYB.2020.3022270
10.1109/TII.2019.2957130
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/TNSE.2023.3299614
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2334-329X
EndPage 11
ExternalDocumentID 10_1109_TNSE_2023_3299614
10197220
Genre orig-research
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 62073046
GroupedDBID 0R~
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABJNI
ABQJQ
ABVLG
AGQYO
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
IFIPE
IPLJI
JAVBF
M43
OCL
PQQKQ
RIA
RIE
AAYXX
AGSQL
CITATION
EJD
IEDLZ
RIG
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c294t-a9f2e27bd5c0d112864c361d3f22139a3b3859ce393ff45f0cdf58d99f860433
IEDL.DBID RIE
ISSN 2327-4697
IngestDate Mon Jun 30 08:19:17 EDT 2025
Tue Jul 01 03:10:47 EDT 2025
Thu Apr 24 23:06:46 EDT 2025
Wed Aug 27 02:57:12 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 1
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-c294t-a9f2e27bd5c0d112864c361d3f22139a3b3859ce393ff45f0cdf58d99f860433
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-6876-0848
0000-0003-1480-1872
0000-0002-7603-4333
0000-0003-4822-3134
PQID 2911480067
PQPubID 2040409
PageCount 11
ParticipantIDs ieee_primary_10197220
proquest_journals_2911480067
crossref_citationtrail_10_1109_TNSE_2023_3299614
crossref_primary_10_1109_TNSE_2023_3299614
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – month: 01
  year: 2024
  text: 2024-01-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on network science and engineering
PublicationTitleAbbrev TNSE
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref12
ref15
ref14
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref16
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref5
  doi: 10.1109/TNSE.2020.2985096
– ident: ref12
  doi: 10.1016/j.jfranklin.2022.04.028
– ident: ref25
  doi: 10.1109/TNSE.2022.3164833
– ident: ref33
  doi: 10.1109/TSMC.2018.2812216
– ident: ref9
  doi: 10.1016/j.neucom.2021.10.019
– ident: ref10
  doi: 10.1016/j.automatica.2020.109253
– ident: ref16
  doi: 10.1109/TIE.2018.2815942
– ident: ref2
  doi: 10.1109/TNSE.2020.3017389
– ident: ref23
  doi: 10.1109/TIE.2021.3120442
– ident: ref4
  doi: 10.1109/TIE.2017.2739683
– ident: ref7
  doi: 10.1016/j.automatica.2019.04.029
– ident: ref15
  doi: 10.1109/TSMC.2019.2894171
– ident: ref26
  doi: 10.1109/TAC.2021.3105322
– ident: ref30
  doi: 10.1109/TCYB.2017.2667680
– ident: ref13
  doi: 10.1016/j.ymssp.2018.11.001
– ident: ref14
  doi: 10.1109/TNNLS.2022.3169518
– ident: ref18
  doi: 10.1109/TCYB.2021.3074566
– ident: ref8
  doi: 10.1016/j.automatica.2020.109283
– ident: ref3
  doi: 10.1109/JIOT.2018.2842773
– ident: ref22
  doi: 10.1109/TNSE.2021.3077766
– ident: ref6
  doi: 10.1109/TII.2022.3162855
– ident: ref28
  doi: 10.1109/TNNLS.2021.3072784
– ident: ref24
  doi: 10.1109/TNNLS.2019.2917137
– ident: ref21
  doi: 10.1109/TSMC.2019.2958861
– ident: ref17
  doi: 10.1109/TAC.2021.3108123
– ident: ref20
  doi: 10.1109/TCYB.2020.2969499
– ident: ref19
  doi: 10.1109/TNSE.2021.3121727
– ident: ref29
  doi: 10.1109/TIE.2011.2160140
– ident: ref32
  doi: 10.1109/TNNLS.2013.2238554
– ident: ref27
  doi: 10.1109/TCYB.2021.3070356
– ident: ref11
  doi: 10.1109/TII.2022.3141428
– ident: ref31
  doi: 10.1109/TCYB.2020.3022270
– ident: ref1
  doi: 10.1109/TII.2019.2957130
SSID ssj0001286333
Score 2.5456278
Snippet A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1
SubjectTerms Control systems
Disturbance observers
Iterative disturbance observer
Mathematical models
Multiagent systems
Power system stability
Privacy
privacy preservation
Stability analysis
System performance
the setting time mask function
Upper bound
Title A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems
URI https://ieeexplore.ieee.org/document/10197220
https://www.proquest.com/docview/2911480067
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEA7akx58VqxWycGTsOvuJtlujkWtVWgVrNDbkicUdSt9CPrrzWS3UhXF2x6SEPabTGYmM98gdJJSSzNrRZClMgqok-BAQhYhtzbWjImWiKA4uddPuw_0ZsiGVbG6r4UxxvjkMxPCp3_L12M1h1CZO-HQJCtxHvqq89zKYq2lgEqWEkKql8s44meD_v1lCO3BQ-KUbhrTL3ePb6byQwP7a6WzifqLDZXZJI_hfCZD9f6Nq_HfO95CG5WBidulRGyjFVPsoPUl2sFdZNrY6TZ8Nxm9CvWGIQtjEZrFPQOlwKPpMxaFxgJfiVGBrz31stOL-MJJxXwiQVTwrYRpZoKd3Yt9Ia-AOi1ckaDX0aBzOTjvBlW7hUAlnM4CwW1ikpbUTEU6ht9JFUljTWySODtREEkyxpUhnFhLmY2UtizTnNssBRq0PVQrxoXZR5gRra1ycNsWpVxFYESqzLrhzCaSywaKFjjkqqIih44YT7l3SSKeA3Q5QJdX0DXQ6eeUl5KH46_BdYBiaWCJQgM1F2jn1VGd5gkHlxBu7YNfph2iNbc6LQMvTVSbTebmyJkiM3nsRfADJkzb2Q
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDI4QHIADzyHGMwdOSC1tk3TNEcFgAzaQGNJuVZ7SBBQ0NiT49cRphwYIxK2HRIn6Obbj2J8ROkippZm1IshSGQXUSXAgIYuQWxtrxkRDRFCc3OmmrTt60Wf9qljd18IYY3zymQnh07_l6yc1hlCZO-HQJCtxN_Q5Z_hZXJZrTYVUspQQUr1dxhE_6nVvmyE0CA-JU7tpTL9YH99O5YcO9oblbBl1J1sq80nuw_FIhur9G1vjv_e8gpYqFxMflzKximZMsYYWp4gH15E5xk674Zvh4FWoNwx5GJPgLO4YKAYevDxiUWgs8LkYFLjtyZedZsSnTi7GQwnCgq8lTDND7Dxf7Et5BVRq4YoGvYZ6Z83eSSuoGi4EKuF0FAhuE5M0pGYq0jH8TqpIGmtik8R5ioJIkjGuDOHEWspspLRlmebcZikQoW2g2eKpMJsIM6K1VQ5w26CUqwjcSJVZN5zZRHJZR9EEh1xVZOTQE-Mh95eSiOcAXQ7Q5RV0dXT4OeW5ZOL4a3ANoJgaWKJQRzsTtPPqsL7kCYdLIdjtrV-m7aP5Vq9zlV-1u5fbaMGtRMswzA6aHQ3HZtc5JiO558XxA8WY3yI
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=A+New+Privacy+Preservation+Mechanism+and+a+Gain+Iterative+Disturbance+Observer+for+Multiagent+Systems&rft.jtitle=IEEE+transactions+on+network+science+and+engineering&rft.au=Wang%2C+Min&rft.au=Liang%2C+Hongjing&rft.au=Pan%2C+Yingnan&rft.au=Xie%2C+Xiangpeng&rft.date=2024-01-01&rft.issn=2327-4697&rft.eissn=2334-329X&rft.volume=11&rft.issue=1&rft.spage=392&rft.epage=403&rft_id=info:doi/10.1109%2FTNSE.2023.3299614&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TNSE_2023_3299614
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4697&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4697&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4697&client=summon