Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay

Saved in:
Bibliographic Details
Published inJournal of process control Vol. 132; p. 103112
Main Authors Tao, Hongfeng, Zheng, Junhao, Wei, Junyu, Paszke, Wojciech, Rogers, Eric, Stojanovic, Vladimir
Format Journal Article
LanguageEnglish
Published 01.12.2023
Online AccessGet full text

Cover

Loading…
ArticleNumber 103112
Author Tao, Hongfeng
Paszke, Wojciech
Zheng, Junhao
Stojanovic, Vladimir
Wei, Junyu
Rogers, Eric
Author_xml – sequence: 1
  givenname: Hongfeng
  orcidid: 0000-0001-5279-2458
  surname: Tao
  fullname: Tao, Hongfeng
– sequence: 2
  givenname: Junhao
  surname: Zheng
  fullname: Zheng, Junhao
– sequence: 3
  givenname: Junyu
  surname: Wei
  fullname: Wei, Junyu
– sequence: 4
  givenname: Wojciech
  surname: Paszke
  fullname: Paszke, Wojciech
– sequence: 5
  givenname: Eric
  surname: Rogers
  fullname: Rogers, Eric
– sequence: 6
  givenname: Vladimir
  surname: Stojanovic
  fullname: Stojanovic, Vladimir
BookMark eNqFkE1LxDAQhnNYwd3VvyD5A13zsU1b8CKLX7AgiJ5Dkk7dlG5SkqxS8Mfbuu7Fi6eBmXneYZ4FmjnvAKErSlaUUHHdrto-eONdWjHC-NjklLIZmpMqrzKas_U5WsTYEkJ4wcQcfb1AD8km-wF4IiFGrFWEGltX2wAmZWnoAdsEQf1sdaCCs-4dT1eC73Djw4gkszsFQMSfNu3w3tfQ4YMzEJKyLg1YuSm3PyQ8TtRwgc4a1UW4_K1L9HZ_97p5zLbPD0-b221muCApK7mpmDZlRWstTKGFELrQOqelbmhtdNkIveaFKkWp86IWVABhNK80MFJqZvgS3RxzTfAxBmiksWn8ZnpA2U5SIid7spUne3KyJ4_2Rlz8wftg9yoM_4HfacyArg
CitedBy_id crossref_primary_10_1007_s10846_024_02138_8
crossref_primary_10_1007_s40747_024_01474_4
crossref_primary_10_1007_s10845_024_02405_3
crossref_primary_10_1016_j_engappai_2024_109516
crossref_primary_10_1016_j_conengprac_2024_105955
crossref_primary_10_1016_j_eswa_2025_127090
crossref_primary_10_1016_j_jprocont_2025_103402
crossref_primary_10_1016_j_eswa_2024_124580
crossref_primary_10_1088_1361_6501_ad76d0
crossref_primary_10_1007_s11760_025_03939_6
crossref_primary_10_1016_j_neunet_2024_106457
crossref_primary_10_1007_s10846_025_02237_0
crossref_primary_10_1016_j_neunet_2025_107253
crossref_primary_10_1016_j_iswa_2024_200450
crossref_primary_10_3390_app15031531
crossref_primary_10_1016_j_engappai_2024_109669
crossref_primary_10_1016_j_nahs_2025_101585
crossref_primary_10_1016_j_engappai_2024_109226
crossref_primary_10_1007_s10846_024_02144_w
crossref_primary_10_1088_2631_8695_adb830
crossref_primary_10_1007_s40747_024_01428_w
crossref_primary_10_1016_j_engappai_2025_110551
crossref_primary_10_1016_j_engappai_2024_109511
crossref_primary_10_1016_j_engappai_2025_110231
crossref_primary_10_1016_j_engappai_2024_109993
crossref_primary_10_1109_TSP_2024_3428471
crossref_primary_10_1007_s10489_025_06360_1
crossref_primary_10_1016_j_measurement_2024_115772
crossref_primary_10_1007_s11071_024_09526_7
crossref_primary_10_1016_j_measurement_2024_115455
crossref_primary_10_1088_1361_6501_ada6f3
crossref_primary_10_1088_1361_6501_ad880d
crossref_primary_10_1016_j_engappai_2024_109741
crossref_primary_10_1007_s00170_025_15328_x
crossref_primary_10_1016_j_cie_2025_110896
crossref_primary_10_1016_j_engappai_2024_108091
crossref_primary_10_1007_s10845_024_02502_3
crossref_primary_10_1080_08839514_2024_2440835
crossref_primary_10_1007_s10846_024_02123_1
crossref_primary_10_1016_j_engappai_2024_109768
crossref_primary_10_1016_j_engappai_2024_109845
crossref_primary_10_1007_s40747_024_01590_1
crossref_primary_10_1007_s40747_024_01462_8
crossref_primary_10_1007_s00170_024_13986_x
crossref_primary_10_1016_j_engappai_2025_110055
crossref_primary_10_1002_cjce_25666
crossref_primary_10_1007_s11071_025_10882_1
crossref_primary_10_1016_j_eswa_2023_123047
crossref_primary_10_1016_j_jprocont_2025_103376
Cites_doi 10.1016/j.nahs.2022.101276
10.1016/j.jprocont.2013.02.009
10.1109/TCST.2019.2954300
10.1016/j.jprocont.2016.12.007
10.1002/rob.4620010203
10.1002/aic.10835
10.1109/JAS.2018.7511123
10.1049/iet-cta.2016.0077
10.1109/TCST.2022.3168496
10.1016/j.jprocont.2009.09.006
10.1016/j.jprocont.2009.10.008
10.1109/MCS.2006.1636313
10.1016/j.conengprac.2018.10.012
10.1016/j.automatica.2019.108673
10.1016/j.jprocont.2019.04.003
10.1016/j.automatica.2012.05.056
10.1109/9.50357
10.1016/j.jprocont.2014.07.004
10.1016/j.conengprac.2009.12.003
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.1016/j.jprocont.2023.103112
DatabaseName CrossRef
DatabaseTitle CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Computer Science
ExternalDocumentID 10_1016_j_jprocont_2023_103112
GroupedDBID --K
--M
.DC
.~1
0R~
1B1
1~.
1~5
29L
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JN
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AATTM
AAXKI
AAXUO
AAYWO
AAYXX
ABFNM
ABFRF
ABJNI
ABMAC
ABNUV
ABWVN
ABXDB
ACDAQ
ACGFO
ACGFS
ACNNM
ACRLP
ACRPL
ACVFH
ADBBV
ADCNI
ADEWK
ADEZE
ADMUD
ADNMO
ADTZH
AEBSH
AECPX
AEFWE
AEIPS
AEKER
AENEX
AEUPX
AFJKZ
AFPUW
AFTJW
AFXIZ
AGCQF
AGHFR
AGQPQ
AGRNS
AGUBO
AGYEJ
AHHHB
AHJVU
AHPOS
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AKBMS
AKRWK
AKURH
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
APXCP
ASPBG
AVWKF
AXJTR
AZFZN
BBWZM
BJAXD
BKOJK
BLXMC
BNPGV
CITATION
CS3
DU5
EBS
EFJIC
EJD
ENUVR
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HLY
HVGLF
HZ~
IHE
J1W
JJJVA
KOM
LX7
LY7
M41
MO0
N9A
NDZJH
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
ROL
RPZ
SCE
SDF
SDG
SDP
SES
SET
SEW
SPC
SPCBC
SSG
SSH
SST
SSZ
T5K
UNMZH
WUQ
ZMT
ZY4
~G-
ID FETCH-LOGICAL-c360t-83c92bc891db6c7b666b7bb518bf1dcb8f6b437a868b57d616e02159be208b2c3
ISSN 0959-1524
IngestDate Thu Apr 24 22:56:54 EDT 2025
Tue Jul 01 03:17:15 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c360t-83c92bc891db6c7b666b7bb518bf1dcb8f6b437a868b57d616e02159be208b2c3
ORCID 0000-0001-5279-2458
OpenAccessLink http://zbc.uz.zgora.pl/Content/78593/repetitive_process_based_indirect-type_iterative_learning_control_for_batch_processes_with.pdf
ParticipantIDs crossref_citationtrail_10_1016_j_jprocont_2023_103112
crossref_primary_10_1016_j_jprocont_2023_103112
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-12-00
PublicationDateYYYYMMDD 2023-12-01
PublicationDate_xml – month: 12
  year: 2023
  text: 2023-12-00
PublicationDecade 2020
PublicationTitle Journal of process control
PublicationYear 2023
References Zhang (10.1016/j.jprocont.2023.103112_b5) 2023; 31
Hao (10.1016/j.jprocont.2023.103112_b19) 2016; 10
Hladowski (10.1016/j.jprocont.2023.103112_b9) 2010; 18
Bristow (10.1016/j.jprocont.2023.103112_b2) 2006; 26
Shi (10.1016/j.jprocont.2023.103112_b23) 2006; 52
Shen (10.1016/j.jprocont.2023.103112_b3) 2018; 5
Sakariya (10.1016/j.jprocont.2023.103112_b7) 2020; 96
Shi (10.1016/j.jprocont.2023.103112_b12) 2014; 24
Hao (10.1016/j.jprocont.2023.103112_b10) 2019; 78
Tao (10.1016/j.jprocont.2023.103112_b15) 2017; 56
Arimoto (10.1016/j.jprocont.2023.103112_b1) 1984; 1
Li (10.1016/j.jprocont.2023.103112_b20) 2023
Bresch-Pietri (10.1016/j.jprocont.2023.103112_b16) 2012; 48
Ketelhut (10.1016/j.jprocont.2023.103112_b6) 2019; 83
Hao (10.1016/j.jprocont.2023.103112_b13) 2020; 112
Clerget (10.1016/j.jprocont.2023.103112_b17) 2016
Rogers (10.1016/j.jprocont.2023.103112_b8) 2007
Johansen (10.1016/j.jprocont.2023.103112_b4) 2021; 29
Liu (10.1016/j.jprocont.2023.103112_b11) 2010; 20
Wang (10.1016/j.jprocont.2023.103112_b14) 2009; 19
Wang (10.1016/j.jprocont.2023.103112_b18) 2013; 23
Wang (10.1016/j.jprocont.2023.103112_b21) 2023; 47
Khargonekar (10.1016/j.jprocont.2023.103112_b22) 1990; 35
References_xml – volume: 47
  year: 2023
  ident: 10.1016/j.jprocont.2023.103112_b21
  article-title: Terminal constrained robust hybrid iterative learning model predictive control for complex time-delayed batch processes
  publication-title: Nonlinear Anal. Hybrid Syst.
  doi: 10.1016/j.nahs.2022.101276
– volume: 23
  start-page: 715
  issue: 5
  year: 2013
  ident: 10.1016/j.jprocont.2023.103112_b18
  article-title: Delay-range-dependent robust 2D iterative learning control for batch processes with state delay and uncertainties
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2013.02.009
– volume: 29
  start-page: 580
  issue: 2
  year: 2021
  ident: 10.1016/j.jprocont.2023.103112_b4
  article-title: Broiler FCR optimization using norm optimal terminal iterative learning control
  publication-title: IEEE Trans. Control Syst. Technol.
  doi: 10.1109/TCST.2019.2954300
– volume: 56
  start-page: 112
  year: 2017
  ident: 10.1016/j.jprocont.2023.103112_b15
  article-title: Iterative learning fault-tolerant control for differential time-delay batch processes in finite frequency domains
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2016.12.007
– volume: 1
  start-page: 123
  issue: 2
  year: 1984
  ident: 10.1016/j.jprocont.2023.103112_b1
  article-title: Bettering operation of robots by learning
  publication-title: J. Robot. Syst.
  doi: 10.1002/rob.4620010203
– volume: 52
  start-page: 2171
  issue: 6
  year: 2006
  ident: 10.1016/j.jprocont.2023.103112_b23
  article-title: Robust iterative learning control design for batch processes with uncertain perturbations and initialization
  publication-title: AIChE J.
  doi: 10.1002/aic.10835
– volume: 5
  start-page: 885
  issue: 5
  year: 2018
  ident: 10.1016/j.jprocont.2023.103112_b3
  article-title: Iterative learning control with incomplete information: A survey
  publication-title: IEEE/CAA J. Autom. Sin.
  doi: 10.1109/JAS.2018.7511123
– volume: 10
  start-page: 1904
  issue: 15
  year: 2016
  ident: 10.1016/j.jprocont.2023.103112_b19
  article-title: Robust iterative learning control for batch processes with input delay subject to time-varying uncertainties
  publication-title: IET Control Theory Appl.
  doi: 10.1049/iet-cta.2016.0077
– volume: 31
  start-page: 144
  issue: 1
  year: 2023
  ident: 10.1016/j.jprocont.2023.103112_b5
  article-title: Optimal data-driven difference-inversion-based iterative control: high-speed nanopositioning tracking example
  publication-title: IEEE Trans. Control Syst. Technol.
  doi: 10.1109/TCST.2022.3168496
– volume: 19
  start-page: 1589
  issue: 10
  year: 2009
  ident: 10.1016/j.jprocont.2023.103112_b14
  article-title: Survey on iterative learning control, repetitive control, and run-to-run control
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2009.09.006
– volume: 20
  start-page: 173
  issue: 2
  year: 2010
  ident: 10.1016/j.jprocont.2023.103112_b11
  article-title: Imc-based iterative learning control for batch processes with uncertain time delay
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2009.10.008
– volume: 26
  start-page: 96
  issue: 3
  year: 2006
  ident: 10.1016/j.jprocont.2023.103112_b2
  article-title: A survey of iterative learning control
  publication-title: IEEE Control Syst. Mag.
  doi: 10.1109/MCS.2006.1636313
– volume: 83
  start-page: 33
  year: 2019
  ident: 10.1016/j.jprocont.2023.103112_b6
  article-title: Iterative learning control of ventricular assist devices with variable cycle durations
  publication-title: Control Eng. Pract.
  doi: 10.1016/j.conengprac.2018.10.012
– volume: 112
  year: 2020
  ident: 10.1016/j.jprocont.2023.103112_b13
  article-title: Extended state observer based indirect-type ILC for single-input single-output batch processes with time-and batch-varying uncertainties
  publication-title: Automatica
  doi: 10.1016/j.automatica.2019.108673
– year: 2007
  ident: 10.1016/j.jprocont.2023.103112_b8
– volume: 78
  start-page: 57
  year: 2019
  ident: 10.1016/j.jprocont.2023.103112_b10
  article-title: PI based indirect-type iterative learning control for batch processes with time-varying uncertainties: A 2D FM model based approach
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2019.04.003
– volume: 48
  start-page: 1536
  issue: 8
  year: 2012
  ident: 10.1016/j.jprocont.2023.103112_b16
  article-title: Adaptive control scheme for uncertain time-delay systems
  publication-title: Automatica
  doi: 10.1016/j.automatica.2012.05.056
– year: 2023
  ident: 10.1016/j.jprocont.2023.103112_b20
  article-title: Two-dimensional iterative learning robust asynchronous switching predictive control for multiphase batch processes with time-varying delays
  publication-title: IEEE Trans. Syst. Man Cybern.
– start-page: 145
  year: 2016
  ident: 10.1016/j.jprocont.2023.103112_b17
  article-title: Run-to-run control with nonlinearity and delay uncertainty
– volume: 96
  start-page: 1
  year: 2020
  ident: 10.1016/j.jprocont.2023.103112_b7
  article-title: Iterative learning control of functional electrical stimulation in the presence of voluntary user effort
  publication-title: Control Eng. Pract.
– volume: 35
  start-page: 356
  issue: 3
  year: 1990
  ident: 10.1016/j.jprocont.2023.103112_b22
  article-title: Robust stabilization of uncertain linear systems: Quadratic stabilizability and H∞ control theory
  publication-title: IEEE Trans. Automat. Control
  doi: 10.1109/9.50357
– volume: 24
  start-page: 1527
  issue: 10
  year: 2014
  ident: 10.1016/j.jprocont.2023.103112_b12
  article-title: A design method for indirect iterative learning control based on two-dimensional generalized predictive control algorithm
  publication-title: J. Process Control
  doi: 10.1016/j.jprocont.2014.07.004
– volume: 18
  start-page: 339
  issue: 4
  year: 2010
  ident: 10.1016/j.jprocont.2023.103112_b9
  article-title: Experimentally supported 2D systems based iterative learning control law design for error convergence and performance
  publication-title: Control Eng. Pract.
  doi: 10.1016/j.conengprac.2009.12.003
SSID ssj0003726
Score 2.6147518
SourceID crossref
SourceType Enrichment Source
Index Database
StartPage 103112
Title Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay
Volume 132
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaWcoEDjwKipaA5cFslxImTOEeEilZIcGpFb1EmcSirKruC5ECF-Af8545fSRYqoFyiyIodJ_NpZjz-PMPYS8krjsizQEklAsGxCQopRRCpShZxTCbFZGJ6_yFbnYp3Z-nZYvFzxloaegzry2vPlfyPVKmN5KpPyd5AsuOg1ED3JF-6koTp-k8yJu9ZHxLT5J-tJfwvtVXS6ZSsqQpMhNVmTtZPXfhAiGeoG7ImaeNzP4Byx91MhZwlGT1LGeh9mqbt0C91Ysmd3eCZV-vn4V4wBQZMSHa16T61yhlLE65WjhE8dOfVZtom-uwavw3THtfXS0sk-rhZk0JyETgXsIiTGfljijyS2yB2lLCLclo1qmtPWHb1bxreBhvW4Vp_D31KqF8RTh12U2r_YupGAqLntq1LP06pxyntOLfY7ZhWHbogRvhjYgwluaneN85_duD8-vnMfJ2Z03LygN1zcoHXFjoP2UJ1--y-r-QBTrHvs7uztJSP2PcJV-DkCQZXsIMrGHEFHlfgxA6EKzC4ghFXoHEFBlcwwxUQrsDgCgyuHrPTt8cnb1aBq9IR1EkW9YFM6iLGWha8wazOkdbDmCOmXGLLmxplm6FI8kpmEtO8yXimtJ9ZoIojiXGdPGF73aZTTxmkrUijikdVVQhBlgZpbUAebxy1bdUkCR6w1P_PsnYp7HUllYvyz_I8YK_GflubxOUvPQ5v3OMZuzOB_Yjt9V8G9Zz81R5fGBRdAQvtnfc
linkProvider Elsevier
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=Repetitive+process+based+indirect-type+iterative+learning+control+for+batch+processes+with+model+uncertainty+and+input+delay&rft.jtitle=Journal+of+process+control&rft.au=Tao%2C+Hongfeng&rft.au=Zheng%2C+Junhao&rft.au=Wei%2C+Junyu&rft.au=Paszke%2C+Wojciech&rft.date=2023-12-01&rft.issn=0959-1524&rft.volume=132&rft.spage=103112&rft_id=info:doi/10.1016%2Fj.jprocont.2023.103112&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_jprocont_2023_103112
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0959-1524&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0959-1524&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0959-1524&client=summon