Fuzzy Adaptive Finite-Time Tracking Control for a Class of Nonlinear Systems: An Event-Triggered Quantized Control Scheme

This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with full-state constraints. By means of state transformation, filtered backstepping technique and fuzzy adaptive control with the idea of minimum learni...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 31; no. 11; pp. 1 - 9
Main Authors Jiang, Yunbiao, Liu, Zhongxin, Chen, Zengqiang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Backstepping
Constraints
Control systems
Filtered backstepping
finite-time control
full-state constraints
Fuzzy control
Fuzzy logic
fuzzy logic systems
Hysteresis
Nonlinear systems
Parameters
Quantization (signal)
Stability analysis
Switches
Tracking control
Online AccessGet full text

Cover

Abstract This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with full-state constraints. By means of state transformation, filtered backstepping technique and fuzzy adaptive control with the idea of minimum learning parameter (MLP), a <inline-formula><tex-math notation="LaTeX">C^{1}</tex-math></inline-formula> ETQFTC scheme with low differential calculation and few parameter updates is developed. In the proposed scheme, the feasibility condition generally required in the existing state-constrained control, and the control chattering and singularity problem which are common in the existing FTC schemes are removed and avoided respectively. Finally, complete stability analysis and a set of comparative simulations are presented.
AbstractList This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with full-state constraints. By means of state transformation, filtered backstepping technique and fuzzy adaptive control with the idea of minimum learning parameter (MLP), a <inline-formula><tex-math notation="LaTeX">C^{1}</tex-math></inline-formula> ETQFTC scheme with low differential calculation and few parameter updates is developed. In the proposed scheme, the feasibility condition generally required in the existing state-constrained control, and the control chattering and singularity problem which are common in the existing FTC schemes are removed and avoided respectively. Finally, complete stability analysis and a set of comparative simulations are presented.
This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (FTC) (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with full-state constraints. By means of state transformation, filtered backstepping technique and fuzzy adaptive control with the idea of minimum learning parameter, a [Formula Omitted] ETQFTC scheme with low differential calculation and few parameter updates is developed. In the proposed scheme, the feasibility condition generally required in the existing state-constrained control, and the control chattering and singularity problem, which are common in the existing FTC schemes are removed and avoided respectively. Finally, complete stability analysis and a set of comparative simulations are presented.
Author Jiang, Yunbiao
Chen, Zengqiang
Liu, Zhongxin
Author_xml – sequence: 1
  givenname: Yunbiao
  orcidid: 0000-0002-2554-312X
  surname: Jiang
  fullname: Jiang, Yunbiao
  organization: School of Artificial Intelligence, Tianjin Key Laboratory of Brain Science and Intelligent Rehabilitation, Nankai University, Tianjin, China
– sequence: 2
  givenname: Zhongxin
  orcidid: 0000-0002-3565-4800
  surname: Liu
  fullname: Liu, Zhongxin
  organization: School of Artificial Intelligence, Tianjin Key Laboratory of Brain Science and Intelligent Rehabilitation, Nankai University, Tianjin, China
– sequence: 3
  givenname: Zengqiang
  orcidid: 0000-0002-1415-4073
  surname: Chen
  fullname: Chen, Zengqiang
  organization: School of Artificial Intelligence, Tianjin Key Laboratory of Brain Science and Intelligent Rehabilitation, Nankai University, Tianjin, China
BookMark eNp9kEFLAzEQhYMo2Kp_QDwEPG9NstndxFsprQqiiOvFy5JmZ2t0m9QkLbS_3q2tIB48zWN47w3z9dGhdRYQOqdkQCmRV-Xk5fV1wAhLBykr0iyjB6hHJacJISk_7DTJ0yQvSH6M-iG8E0J5RkUPrSfLzWaNh7VaRLMCPDHWREhKMwdceqU_jJ3hkbPRuxY3zmOFR60KAbsGPzjbGgvK4-d1iDAP13ho8XgFNialN7MZeKjx01LZaDad-ql51m8wh1N01Kg2wNl-nqByMi5Ht8n9483daHifaCbzmDSaUZHJmlA25XnN9bRQVEsKWSM0n9ZFzoDpgijGa1HwNIdp3q25ZFATSdITdLmrXXj3uYQQq3e39La7WDEhuJCSEtq52M6lvQvBQ1MtvJkrv64oqbaEq2_C1ZZwtSfchcSfkDZRRbN9U5n2_-jFLmoA4NctyogUIv0CH_eMgQ
CODEN IEFSEV
CitedBy_id crossref_primary_10_1016_j_jfranklin_2023_07_018
crossref_primary_10_1177_01423312241229388
crossref_primary_10_1016_j_oceaneng_2023_116269
crossref_primary_10_1109_TSMC_2025_3526980
crossref_primary_10_1016_j_oceaneng_2023_114961
crossref_primary_10_1016_j_oceaneng_2024_119712
crossref_primary_10_1002_rnc_7787
crossref_primary_10_1109_TASE_2024_3391629
crossref_primary_10_1016_j_oceaneng_2023_116552
Cites_doi 10.1109/TFUZZ.2014.2315298
10.1109/ACC.2009.5160295
10.1109/TAC.2018.2847458
10.1016/j.automatica.2005.07.001
10.1109/TNNLS.2022.3145975
10.1109/TCYB.2020.3008020
10.1109/TFUZZ.2021.3050847
10.1016/j.automatica.2015.10.049
10.1016/j.neucom.2016.11.025
10.1016/j.ins.2020.02.005
10.1109/72.159070
10.1109/TNNLS.2019.2959016
10.1080/00207179.2010.501385
10.1109/TSMC.2018.2833872
10.1109/TCYB.2017.2715980
10.1109/TAC.2009.2015562
10.1016/j.jfranklin.2021.12.004
10.1016/j.automatica.2017.03.033
10.1109/TFUZZ.2020.3028645
10.1109/TFUZZ.2019.2950879
10.1016/j.automatica.2019.108704
10.1109/TNNLS.2020.2979174
10.1016/j.isatra.2017.11.010
10.1016/j.automatica.2018.05.014
10.1080/00207179.2019.1598580
10.1109/91.919256
10.1016/j.automatica.2015.10.034
10.1137/S0363012997321358
10.1109/TCYB.2018.2890256
10.1109/TAC.2022.3197562
10.1109/TNNLS.2022.3190286
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
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/TFUZZ.2023.3273551
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
Computer Science
EISSN 1941-0034
EndPage 9
ExternalDocumentID 10_1109_TFUZZ_2023_3273551
10120988
Genre orig-research
GrantInformation_xml – fundername: General Terminal IC Interdisciplinary Science Center of Nankai University
– fundername: National Natural Science Foundation of China
  grantid: 61973175
GroupedDBID -~X
.DC
0R~
29I
4.4
5GY
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
AENEX
AGQYO
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
PQQKQ
RIA
RIE
RNS
TAE
TN5
5VS
AAYOK
AAYXX
AETIX
AGSQL
AI.
AIBXA
ALLEH
CITATION
EJD
H~9
ICLAB
IFJZH
RIG
VH1
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c296t-fc21859d012b46d4cb7a1c91e5f8c4bd762e2c70a24d87436eb64bd492ed0903
IEDL.DBID RIE
ISSN 1063-6706
IngestDate Mon Jun 30 03:37:13 EDT 2025
Tue Jul 01 01:55:36 EDT 2025
Thu Apr 24 23:12:04 EDT 2025
Wed Aug 27 02:18:21 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-c296t-fc21859d012b46d4cb7a1c91e5f8c4bd762e2c70a24d87436eb64bd492ed0903
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-2554-312X
0000-0002-1415-4073
0000-0002-3565-4800
PQID 2884899101
PQPubID 85428
PageCount 9
ParticipantIDs crossref_primary_10_1109_TFUZZ_2023_3273551
ieee_primary_10120988
proquest_journals_2884899101
crossref_citationtrail_10_1109_TFUZZ_2023_3273551
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 New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on fuzzy systems
PublicationTitleAbbrev TFUZZ
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
ref15
ref14
ref31
ref30
ref11
ref10
ref2
ref1
ref17
ref16
ref19
ref24
ref23
ref26
ref25
ref20
wu (ref18) 2021; 51
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref27
  doi: 10.1109/TFUZZ.2014.2315298
– ident: ref4
  doi: 10.1109/ACC.2009.5160295
– ident: ref10
  doi: 10.1109/TAC.2018.2847458
– ident: ref13
  doi: 10.1016/j.automatica.2005.07.001
– ident: ref19
  doi: 10.1109/TNNLS.2022.3145975
– volume: 51
  start-page: 2870
  year: 2021
  ident: ref18
  article-title: Quantized adaptive finite-time bipartite NN tracking control for stochastic multiagent systems
  publication-title: IEEE Trans Cybern
  doi: 10.1109/TCYB.2020.3008020
– ident: ref23
  doi: 10.1109/TFUZZ.2021.3050847
– ident: ref14
  doi: 10.1016/j.automatica.2015.10.049
– ident: ref25
  doi: 10.1016/j.neucom.2016.11.025
– ident: ref8
  doi: 10.1016/j.ins.2020.02.005
– ident: ref1
  doi: 10.1109/72.159070
– ident: ref22
  doi: 10.1109/TNNLS.2019.2959016
– ident: ref3
  doi: 10.1080/00207179.2010.501385
– ident: ref9
  doi: 10.1109/TSMC.2018.2833872
– ident: ref17
  doi: 10.1109/TCYB.2017.2715980
– ident: ref31
  doi: 10.1109/TAC.2009.2015562
– ident: ref28
  doi: 10.1016/j.jfranklin.2021.12.004
– ident: ref29
  doi: 10.1016/j.automatica.2017.03.033
– ident: ref7
  doi: 10.1109/TFUZZ.2020.3028645
– ident: ref5
  doi: 10.1109/TFUZZ.2019.2950879
– ident: ref16
  doi: 10.1016/j.automatica.2019.108704
– ident: ref6
  doi: 10.1109/TNNLS.2020.2979174
– ident: ref15
  doi: 10.1016/j.isatra.2017.11.010
– ident: ref11
  doi: 10.1016/j.automatica.2018.05.014
– ident: ref21
  doi: 10.1080/00207179.2019.1598580
– ident: ref2
  doi: 10.1109/91.919256
– ident: ref24
  doi: 10.1016/j.automatica.2015.10.034
– ident: ref12
  doi: 10.1137/S0363012997321358
– ident: ref26
  doi: 10.1109/TCYB.2018.2890256
– ident: ref20
  doi: 10.1109/TAC.2022.3197562
– ident: ref30
  doi: 10.1109/TNNLS.2022.3190286
SSID ssj0014518
Score 2.5001798
Snippet This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with...
This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (FTC) (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1
SubjectTerms Adaptive control
Backstepping
Constraints
Control systems
Filtered backstepping
finite-time control
full-state constraints
Fuzzy control
Fuzzy logic
fuzzy logic systems
Hysteresis
Nonlinear systems
Parameters
Quantization (signal)
Stability analysis
Switches
Tracking control
Title Fuzzy Adaptive Finite-Time Tracking Control for a Class of Nonlinear Systems: An Event-Triggered Quantized Control Scheme
URI https://ieeexplore.ieee.org/document/10120988
https://www.proquest.com/docview/2884899101
Volume 31
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LS8QwEB7Ukx58i-uLHLxJaluTbOptEYsILogriJfSPCqLurvo9uD-eidJKz5QvIUyGVJmMjNJ5psBOFRJpSopBE25VpRViXskZJxKi7F2pbqJ9dX2r_ri4pZd3vG7BqzusTDWWp98ZiM39G_5Zqxrd1V2nHikp5TzMI8ntwDW-ngyYDwJuDdxQkU3Fi1CJs6OB_nt_X3kGoVHJ-iuOU--eCHfVuWHLfYOJl-Bfru0kFfyGNVTFenZt6qN_177Kiw3oSbpBd1Ygzk7WoeVto0DaXb1Oix9qkm4AW95PZu9kZ4pJ84SknzoolLqoCIEHZt2V-vkLCS4E4x4SUl8Y00yrkg_1N0okXkohH5KeiNy7lIq6eBl-PDgGoOS6xqlOZzhqGVzg5rzbDdhkJ8Pzi5o05-B6jQTU1ppjA94ZvDPFBOGadUtE52heCupmTJoZ22qu3GZMiMxUhFWCfzMstQadz20BQuj8chuA4mRxlhdZjFycqg_I3ls0ZgKbTJu0w4krbgK3dQudy00ngp_homzwou4cCIuGhF34OhjziRU7viTetPJ7BNlEFcH9lq1KJrd_VqkUjI8pyLNzi_TdmHRcQ-gxT1YmL7Udh-jl6k68Fr7DiXO6tw
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3dT9wwDLcYe9j2MDbGtNuA5YE3lNKUJJfu7YSoDgYnTRQJ8VI1H0WnwR1i1wfur5-TtIgxDe2tqhw3lR3bSfyzAXY0a3SjpKSZMJryhvlLQi6ochhrN3rIXKi2fzqR43N-fCEuOrB6wMI450LymUv8Y7jLt3PT-qOyPRaQnkq9gJfIT7AI13q4NOCCReSb3KdymMoeI5Pme2VxfnmZ-FbhyT46bCHYH34oNFb5yxoHF1OswaSfXMws-Zm0C52Y5ZO6jf89-3fwtgs2yShqx3tYcbN1WOsbOZBuXa_Dm0dVCT_AfdEul_dkZOtbbwtJMfVxKfVgEYKuzfjDdXIQU9wJxrykJqG1Jpk3ZBIrb9TIPJZC_0ZGM3LokyppeTe9uvKtQcmPFuU5XeJTz-YMdefGbUBZHJYHY9p1aKAmy-WCNgYjBJFb_DPNpeVGD2tmchRwowzXFi2ty8wwrTNuFcYq0mmJr3meOesPiD7C6mw-c5-ApEhjnanzFDl53J9VInVoTqWxuXDZAFgvrsp01ct9E43rKuxi0rwKIq68iKtOxAPYfRhzG2t3PEu94WX2iDKKawCbvVpU3fr-VWVKcdypIs3nfwz7Cq_G5elJdXI0-f4FXvsvRQjjJqwu7lq3hbHMQm8HDf4NjATuJQ
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=Fuzzy+Adaptive+Finite-Time+Tracking+Control+for+a+Class+of+Nonlinear+Systems%3A+An+Event-Triggered+Quantized+Control+Scheme&rft.jtitle=IEEE+transactions+on+fuzzy+systems&rft.au=Jiang%2C+Yunbiao&rft.au=Liu%2C+Zhongxin&rft.au=Chen%2C+Zengqiang&rft.date=2023-11-01&rft.pub=IEEE&rft.issn=1063-6706&rft.spage=1&rft.epage=9&rft_id=info:doi/10.1109%2FTFUZZ.2023.3273551&rft.externalDocID=10120988
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