Sliding Mode Control for Sampled-Data Systems Subject to Deception Attacks: Handling Randomly Perturbed Sampling Periods

In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo component-wise random perturbations that are governed by a Markovian chain. The component of the sampled output is transmitted via an individu...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 53; no. 11; pp. 1 - 14
Main Authors Cao, Zhiru, Wang, Zidong, Niu, Yugang, Song, Jun, Liu, Hongjian
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.11.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Closed loops
Control systems design
Controllers
Data systems
Feedback control
Markov chains
Markovian model
Nonuniform sampling
Optimal control
Optimization
Perturbation
randomly occurring deception attacks
randomly perturbed sampling periods (RPSPs)
Sampled data systems
Sliding mode control
sliding mode control (SMC)
Stochastic processes
Symmetric matrices
Time measurement
Online AccessGet full text
ISSN2168-2267
2168-2275
2168-2275
DOI10.1109/TCYB.2022.3202486

Cover

Abstract In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo component-wise random perturbations that are governed by a Markovian chain. The component of the sampled output is transmitted via an individual communication channel that is vulnerable to deception attacks, and Bernoulli-distributed stochastic variables are utilized to characterize the random occurrence of the deception attacks initiated by the adversaries. A sliding mode controller is designed to drive the state into the sliding domain around the specified sliding surface, and sufficient conditions are derived to guarantee the exponentially ultimate boundedness of the resultant closed-loop system in the mean-square sense. Furthermore, an optimization problem is established to pursue locally optimal control performance. Finally, a simulation example is given to verify the effectiveness and advantages of the developed controller design approach.
AbstractList In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo component-wise random perturbations that are governed by a Markovian chain. The component of the sampled output is transmitted via an individual communication channel that is vulnerable to deception attacks, and Bernoulli-distributed stochastic variables are utilized to characterize the random occurrence of the deception attacks initiated by the adversaries. A sliding mode controller is designed to drive the state into the sliding domain around the specified sliding surface, and sufficient conditions are derived to guarantee the exponentially ultimate boundedness of the resultant closed-loop system in the mean-square sense. Furthermore, an optimization problem is established to pursue locally optimal control performance. Finally, a simulation example is given to verify the effectiveness and advantages of the developed controller design approach.
In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo component-wise random perturbations that are governed by a Markovian chain. The component of the sampled output is transmitted via an individual communication channel that is vulnerable to deception attacks, and Bernoulli-distributed stochastic variables are utilized to characterize the random occurrence of the deception attacks initiated by the adversaries. A sliding mode controller is designed to drive the state into the sliding domain around the specified sliding surface, and sufficient conditions are derived to guarantee the exponentially ultimate boundedness of the resultant closed-loop system in the mean-square sense. Furthermore, an optimization problem is established to pursue locally optimal control performance. Finally, a simulation example is given to verify the effectiveness and advantages of the developed controller design approach.In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo component-wise random perturbations that are governed by a Markovian chain. The component of the sampled output is transmitted via an individual communication channel that is vulnerable to deception attacks, and Bernoulli-distributed stochastic variables are utilized to characterize the random occurrence of the deception attacks initiated by the adversaries. A sliding mode controller is designed to drive the state into the sliding domain around the specified sliding surface, and sufficient conditions are derived to guarantee the exponentially ultimate boundedness of the resultant closed-loop system in the mean-square sense. Furthermore, an optimization problem is established to pursue locally optimal control performance. Finally, a simulation example is given to verify the effectiveness and advantages of the developed controller design approach.
Author Liu, Hongjian
Cao, Zhiru
Song, Jun
Niu, Yugang
Wang, Zidong
Author_xml – sequence: 1
  givenname: Zhiru
  orcidid: 0000-0003-4213-6937
  surname: Cao
  fullname: Cao, Zhiru
  organization: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
– sequence: 2
  givenname: Zidong
  orcidid: 0000-0002-9576-7401
  surname: Wang
  fullname: Wang, Zidong
  organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
– sequence: 3
  givenname: Yugang
  orcidid: 0000-0002-3010-1879
  surname: Niu
  fullname: Niu, Yugang
  organization: Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China
– sequence: 4
  givenname: Jun
  orcidid: 0000-0003-4718-9835
  surname: Song
  fullname: Song, Jun
  organization: School of Artificial Intelligence, Anhui University, Hefei, China
– sequence: 5
  givenname: Hongjian
  orcidid: 0000-0001-6471-5089
  surname: Liu
  fullname: Liu, Hongjian
  organization: Ministry of Education, Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Anhui Polytechnic University, Wuhu, China
BookMark eNp9UU1v1DAUtFCRKKU_AHGxxIVLFn9sbIdb2VKKVNSKLQdOlmO_IC9OvNiOxP77Otqqhx7w4flp3szYevManUxxAoTeUrKilHQf7ze_Pq8YYWzFa10r8QKdMipUw5hsT556IV-h85x3pB5VoU6don_b4J2ffuPv0QHexKmkGPAQE96acR_ANZemGLw95AJjxtu534EtuER8CRb2xccJX5Ri7J_8CV-byYXF7Edt4hgO-A5SmVMP7mi3zCrko8tv0MvBhAznj_cZ-nn15X5z3dzcfv22ubhpLGeiNG0ruqEVQF0PzPZcdVxa1qsKG-pawkVLO8LNei2kc0wKOijF2zUR0LO-t_wMfTj67lP8O0MuevTZQghmgjhnzWTdDheE80p9_4y6i3Oa6u80U1K1RHHJKoseWTbFnBMMep_8aNJBU6KXOPQSh17i0I9xVI18prG-mGV5JRkf_qt8d1R6AHh6qesoZVzxB6ixmOI
CODEN ITCEB8
CitedBy_id crossref_primary_10_1109_TSMC_2023_3281720
crossref_primary_10_1002_acs_3600
crossref_primary_10_1016_j_jfranklin_2023_12_021
crossref_primary_10_1002_acs_3689
crossref_primary_10_1002_acs_3854
crossref_primary_10_1007_s00034_024_02899_5
crossref_primary_10_1080_00207721_2023_2180336
crossref_primary_10_1109_TFUZZ_2024_3420793
crossref_primary_10_1007_s11432_022_3817_5
crossref_primary_10_1109_TIFS_2024_3522770
crossref_primary_10_1109_TFUZZ_2024_3466218
crossref_primary_10_1016_j_jfranklin_2024_107491
crossref_primary_10_1002_rnc_7479
crossref_primary_10_1109_TAC_2023_3326861
crossref_primary_10_1002_rnc_7455
crossref_primary_10_1016_j_automatica_2025_112132
crossref_primary_10_1109_TCYB_2024_3350331
crossref_primary_10_1049_cth2_12446
crossref_primary_10_1007_s11071_024_09809_z
crossref_primary_10_1109_TASE_2024_3379192
Cites_doi 10.1080/00207721.2021.1885082
10.1016/j.automatica.2020.109154
10.1016/j.sysconle.2011.07.005
10.1016/j.automatica.2017.02.002
10.1016/j.automatica.2019.06.019
10.1080/00207721.2021.1872118
10.1109/TAC.2018.2831620
10.1109/TII.2014.2299897
10.1016/j.automatica.2009.03.004
10.1109/TAC.2017.2685083
10.1002/asjc.1924
10.1016/j.neucom.2017.10.008
10.1007/978-3-319-48962-9
10.1109/TCYB.2019.2896160
10.1109/TFUZZ.2019.2907503
10.1016/j.automatica.2017.12.033
10.1016/j.automatica.2018.09.003
10.1109/TNNLS.2018.2790982
10.1016/j.automatica.2004.03.003
10.1109/TCYB.2019.2900478
10.1016/j.isatra.2019.05.004
10.1109/TSMC.2019.2905253
10.1109/TSMC.2020.3003801
10.1016/j.jfranklin.2021.08.015
10.1109/TSMC.2018.2876497
10.1109/TCSI.2020.3036847
10.1016/j.ins.2018.04.052
10.1109/9.827351
10.1016/j.automatica.2017.04.032
10.1109/TSMC.2019.2919513
10.1109/TCYB.2019.2894392
10.1109/TCYB.2017.2716115
10.1109/TSMC.2018.2814572
10.1109/TCST.2016.2616379
10.1109/TCSI.2019.2948015
10.1002/rnc.4818
10.1049/iet-cta.2018.5080
10.1080/00207179.2020.1750706
10.1002/rnc.4347
10.1109/TCYB.2017.2685425
10.1109/TNSE.2022.3173310
10.1109/TCNS.2017.2648508
10.1109/OJIES.2020.3040412
10.1016/j.automatica.2020.109128
10.1109/TSMC.2022.3166554
10.1109/TCSI.2019.2929554
10.1109/TII.2016.2607150
10.1109/TCYB.2021.3069423
10.1016/j.automatica.2015.10.005
10.1109/TFUZZ.2015.2501412
10.1016/j.neucom.2019.04.065
10.1109/TAC.2019.2926156
10.1080/00207721.2020.1746439
10.1016/j.ins.2018.12.091
10.1109/TCSI.2021.3071341
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
7SP
7TB
8FD
F28
FR3
H8D
JQ2
L7M
L~C
L~D
7X8
DOI 10.1109/TCYB.2022.3202486
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Aerospace Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
MEDLINE - Academic
DatabaseTitle CrossRef
Aerospace Database
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Engineering Research Database
Advanced Technologies Database with Aerospace
ANTE: Abstracts in New Technology & Engineering
Computer and Information Systems Abstracts Professional
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic
Aerospace Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
EISSN 2168-2275
EndPage 14
ExternalDocumentID 10_1109_TCYB_2022_3202486
9911238
Genre orig-research
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 61873148; 61933007; 62203288; 61903143
  funderid: 10.13039/501100001809
– fundername: Alexander von Humboldt Foundation of Germany
– fundername: Natural Science Foundation of Anhui Province of China
  grantid: 2108085MA07
– fundername: AHPU High-End Equipment Intelligent Control Innovation Team of China
  grantid: 2021CXTD005
GroupedDBID 0R~
4.4
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACIWK
AENEX
AGQYO
AGSQL
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
HZ~
IFIPE
IPLJI
JAVBF
M43
O9-
OCL
PQQKQ
RIA
RIE
RNS
AAYXX
CITATION
RIG
7SC
7SP
7TB
8FD
F28
FR3
H8D
JQ2
L7M
L~C
L~D
7X8
ID FETCH-LOGICAL-c326t-5569f56e1dbe2cb38937c2b8569a1d503651903a4467dd2761f8835406eb2bbc3
IEDL.DBID RIE
ISSN 2168-2267
2168-2275
IngestDate Sun Sep 28 12:19:04 EDT 2025
Mon Jun 30 04:19:37 EDT 2025
Tue Jul 01 00:54:03 EDT 2025
Thu Apr 24 22:55:38 EDT 2025
Wed Aug 27 02:29:14 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 11
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-c326t-5569f56e1dbe2cb38937c2b8569a1d503651903a4467dd2761f8835406eb2bbc3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-9576-7401
0000-0003-4718-9835
0000-0001-6471-5089
0000-0003-4213-6937
0000-0002-3010-1879
PQID 2878508372
PQPubID 85422
PageCount 14
ParticipantIDs ieee_primary_9911238
proquest_journals_2878508372
crossref_citationtrail_10_1109_TCYB_2022_3202486
crossref_primary_10_1109_TCYB_2022_3202486
proquest_miscellaneous_2721636033
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-11-01
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-11-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on cybernetics
PublicationTitleAbbrev TCYB
PublicationYear 2023
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
ref56
ref15
ref14
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
ref35
ref34
ref36
ref31
ref30
ref33
ref32
ref2
ref1
ref39
ref38
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
wang (ref37) 2022
References_xml – ident: ref15
  doi: 10.1080/00207721.2021.1885082
– ident: ref56
  doi: 10.1016/j.automatica.2020.109154
– ident: ref24
  doi: 10.1016/j.sysconle.2011.07.005
– ident: ref22
  doi: 10.1016/j.automatica.2017.02.002
– ident: ref2
  doi: 10.1016/j.automatica.2019.06.019
– ident: ref20
  doi: 10.1080/00207721.2021.1872118
– ident: ref19
  doi: 10.1109/TAC.2018.2831620
– ident: ref50
  doi: 10.1109/TII.2014.2299897
– ident: ref9
  doi: 10.1016/j.automatica.2009.03.004
– ident: ref32
  doi: 10.1109/TAC.2017.2685083
– ident: ref3
  doi: 10.1002/asjc.1924
– ident: ref11
  doi: 10.1016/j.neucom.2017.10.008
– ident: ref44
  doi: 10.1007/978-3-319-48962-9
– ident: ref43
  doi: 10.1109/TCYB.2019.2896160
– ident: ref41
  doi: 10.1109/TFUZZ.2019.2907503
– ident: ref36
  doi: 10.1016/j.automatica.2017.12.033
– ident: ref23
  doi: 10.1016/j.automatica.2018.09.003
– ident: ref40
  doi: 10.1109/TNNLS.2018.2790982
– ident: ref8
  doi: 10.1016/j.automatica.2004.03.003
– ident: ref42
  doi: 10.1109/TCYB.2019.2900478
– ident: ref49
  doi: 10.1016/j.isatra.2019.05.004
– ident: ref6
  doi: 10.1109/TSMC.2019.2905253
– ident: ref45
  doi: 10.1109/TSMC.2020.3003801
– ident: ref13
  doi: 10.1016/j.jfranklin.2021.08.015
– ident: ref7
  doi: 10.1109/TSMC.2018.2876497
– ident: ref31
  doi: 10.1109/TCSI.2020.3036847
– ident: ref54
  doi: 10.1016/j.ins.2018.04.052
– year: 2022
  ident: ref37
  article-title: Pinning spatiotemporal sampled-data synchronization of coupled reaction-diffusion neural networks under deception attacks
  publication-title: IEEE Trans Neural Netw Learn Syst
– ident: ref1
  doi: 10.1109/9.827351
– ident: ref39
  doi: 10.1016/j.automatica.2017.04.032
– ident: ref14
  doi: 10.1109/TSMC.2019.2919513
– ident: ref17
  doi: 10.1109/TCYB.2019.2894392
– ident: ref5
  doi: 10.1109/TCYB.2017.2716115
– ident: ref28
  doi: 10.1109/TSMC.2018.2814572
– ident: ref10
  doi: 10.1109/TCST.2016.2616379
– ident: ref16
  doi: 10.1109/TCSI.2019.2948015
– ident: ref34
  doi: 10.1002/rnc.4818
– ident: ref25
  doi: 10.1049/iet-cta.2018.5080
– ident: ref26
  doi: 10.1080/00207179.2020.1750706
– ident: ref27
  doi: 10.1002/rnc.4347
– ident: ref55
  doi: 10.1109/TCYB.2017.2685425
– ident: ref47
  doi: 10.1109/TNSE.2022.3173310
– ident: ref18
  doi: 10.1109/TCNS.2017.2648508
– ident: ref48
  doi: 10.1109/OJIES.2020.3040412
– ident: ref53
  doi: 10.1016/j.automatica.2020.109128
– ident: ref52
  doi: 10.1109/TSMC.2022.3166554
– ident: ref35
  doi: 10.1109/TCSI.2019.2929554
– ident: ref51
  doi: 10.1109/TII.2016.2607150
– ident: ref30
  doi: 10.1109/TCYB.2021.3069423
– ident: ref33
  doi: 10.1016/j.automatica.2015.10.005
– ident: ref38
  doi: 10.1109/TFUZZ.2015.2501412
– ident: ref21
  doi: 10.1016/j.neucom.2019.04.065
– ident: ref4
  doi: 10.1109/TAC.2019.2926156
– ident: ref12
  doi: 10.1080/00207721.2020.1746439
– ident: ref46
  doi: 10.1016/j.ins.2018.12.091
– ident: ref29
  doi: 10.1109/TCSI.2021.3071341
SSID ssj0000816898
Score 2.5030928
Snippet In this article, the sliding mode control problem is addressed for a class of sampled-data systems subject to deception attacks. The sampling periods undergo...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1
SubjectTerms Closed loops
Control systems design
Controllers
Data systems
Feedback control
Markov chains
Markovian model
Nonuniform sampling
Optimal control
Optimization
Perturbation
randomly occurring deception attacks
randomly perturbed sampling periods (RPSPs)
Sampled data systems
Sliding mode control
sliding mode control (SMC)
Stochastic processes
Symmetric matrices
Time measurement
Title Sliding Mode Control for Sampled-Data Systems Subject to Deception Attacks: Handling Randomly Perturbed Sampling Periods
URI https://ieeexplore.ieee.org/document/9911238
https://www.proquest.com/docview/2878508372
https://www.proquest.com/docview/2721636033
Volume 53
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3faxQxEB7aPvmitlU8rZKCDyrmupu9ze761l4th1AR20J9WvJjFkrP29Lbg-pf70w2t4hK8S1ksyEwk8w3ycw3AK-9daX3OpEKKy8nNkdZkZ2WGlWTVoUtseHk5NPPenYx-XSZX27A-yEXBhFD8BmOuRne8n3rVnxVdkBYhg7achM2Sc36XK3hPiUUkAilbxU1JKGKIj5ipkl1cD79dkTOoFJjrhc-4czp38xQqKvy12EcLMzJIzhdr60PLLkerzo7dj__oG3838U_hocRaorDXje2YQMXO7AdN_NSvImM02934e5sfsU2THBlNDHto9cFwVlxZpg92Mtj0xkR2c0FHTZ8eyO6VhxjDIsRh13H6fofxIx5G3iyr9Rov89_iC94S4bNou-n42_UddX65RO4OPl4Pp3JWJJBOsJ5ncxzXTW5xtRbVM4GtOOULanbpD4nc0iIMMkMOZmF96rQaVOGqyVNHry1LnsKW4t2gc9A6MahJwCiCZFNTONKZ4ytGs-Qi1AajiBZS6h2ka-cy2bM6-C3JFXNQq1ZqHUU6gjeDb_c9GQd9w3eZSENA6N8RrC3VoM6budlTW5lybz5hRrB_vCZNiK_rpgFtisawzRImU6y7Pm_Z34BD7hWfZ_IuAdb3e0KXxKi6eyroMq_ABNQ8e0
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Rb9MwED6N8QAvgzEQhQ2MxAMg3CVO4yS8jY6pwDoh1knjKYrtizStNGhNJeDX785xIwQI8WY5jmXpbN9357vvAJ47Y3PndCQVFk6OTIqyID0tNao6LjKTY83JydMTPTkbfThPzzfgdZ8Lg4g--AyH3PRv-a6xK3aV7ROWoYs2vwE3U7Iq8i5bq_eo-BISvvitooYkXJGFZ8w4KvZn4y9vyRxUasgVw0ecO_2LIvKVVf64jr2OOboD0_XqutCSy-GqNUP78zfixv9d_l3YCmBTHHS7Yxs2cHEPtsNxXooXgXP65Q58P51fsBYTXBtNjLv4dUGAVpxWzB_s5GHVViLwmwu6bth_I9pGHGIIjBEHbcsJ-2_EhJkbeLLP1Gi-zn-IT3hFqs2g66bjb9R10bjlfTg7ejcbT2QoyiAtIb1Wpqku6lRj7Awqazzescrk1F3FLiWFSJgwSioyMzPnVKbjOvfOJU02vDE2eQCbi2aBD0Ho2qIjCKIJk42q2ua2qkxROwZdhNNwANFaQqUNjOVcOGNeesslKkoWaslCLYNQB_Cq_-VbR9fxr8E7LKR-YJDPAHbX26AMB3pZkmGZM3N-pgbwrP9MR5HfV6oFNisaw0RIiY6S5NHfZ34Ktyaz6XF5_P7k42O4zZXru7TGXdhsr1a4R_imNU_8tr4G8_r1QA
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=Sliding+Mode+Control+for+Sampled-Data+Systems+Subject+to+Deception+Attacks%3A+Handling+Randomly+Perturbed+Sampling+Periods&rft.jtitle=IEEE+transactions+on+cybernetics&rft.au=Cao%2C+Zhiru&rft.au=Wang%2C+Zidong&rft.au=Niu%2C+Yugang&rft.au=Song%2C+Jun&rft.date=2023-11-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=2168-2267&rft.eissn=2168-2275&rft.volume=53&rft.issue=11&rft.spage=7034&rft_id=info:doi/10.1109%2FTCYB.2022.3202486&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-2267&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-2267&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-2267&client=summon