Unification of closed-loop scheduling and control: State-space formulations, terminal constraints, and nominal theoretical properties

Due to increases in both connectivity of process systems and availability of computing power, there is growing interest in the integration of online scheduling and control. While significant progress has been made on formulations and optimization strategies for this integrated problem, obtaining a s...

Full description

Saved in:
Bibliographic Details
Published inComputers & chemical engineering Vol. 129; p. 106496
Main Authors Risbeck, Michael J., Maravelias, Christos T., Rawlings, James B.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 04.10.2019
Subjects
Online AccessGet full text
ISSN0098-1354
1873-4375
DOI10.1016/j.compchemeng.2019.06.021

Cover

Abstract Due to increases in both connectivity of process systems and availability of computing power, there is growing interest in the integration of online scheduling and control. While significant progress has been made on formulations and optimization strategies for this integrated problem, obtaining a single solution is not sufficient for a practical implementation: because of disturbances and the inherent finite-horizon scope, it eventually becomes necessary to reoptimize considering the new state of the plant. When this loop is closed, there is an unfortunate gap in knowledge with respect to theoretical properties possessed by the resulting evolution of the system. Thus, to facilitate an analysis of the online behavior, we present a unified state-space formulation for integrated scheduling and control. We then use recent theory from economic model predictive control to derive terminal constraints that can be added to the problem to provide nominal recursive feasibility and a bound on closed-loop performance. Via examples, we demonstrate the improved performance of these techniques relative to naive closed-loop implementation strategies. These developments put closed-loop scheduling, economic-optimizing control, and the integrated problem within a common framework, and they can hopefully serve to guide the development of alternative decomposition strategies that still enjoy the desired nominal theoretical properties while avoiding unexpected pathological behavior.
AbstractList Due to increases in both connectivity of process systems and availability of computing power, there is growing interest in the integration of online scheduling and control. While significant progress has been made on formulations and optimization strategies for this integrated problem, obtaining a single solution is not sufficient for a practical implementation: because of disturbances and the inherent finite-horizon scope, it eventually becomes necessary to reoptimize considering the new state of the plant. When this loop is closed, there is an unfortunate gap in knowledge with respect to theoretical properties possessed by the resulting evolution of the system. Thus, to facilitate an analysis of the online behavior, we present a unified state-space formulation for integrated scheduling and control. We then use recent theory from economic model predictive control to derive terminal constraints that can be added to the problem to provide nominal recursive feasibility and a bound on closed-loop performance. Via examples, we demonstrate the improved performance of these techniques relative to naive closed-loop implementation strategies. These developments put closed-loop scheduling, economic-optimizing control, and the integrated problem within a common framework, and they can hopefully serve to guide the development of alternative decomposition strategies that still enjoy the desired nominal theoretical properties while avoiding unexpected pathological behavior.
ArticleNumber 106496
Author Rawlings, James B.
Risbeck, Michael J.
Maravelias, Christos T.
Author_xml – sequence: 1
  givenname: Michael J.
  surname: Risbeck
  fullname: Risbeck, Michael J.
  email: risbeck@wisc.edu
– sequence: 2
  givenname: Christos T.
  surname: Maravelias
  fullname: Maravelias, Christos T.
– sequence: 3
  givenname: James B.
  surname: Rawlings
  fullname: Rawlings, James B.
BookMark eNqNkM1KxDAUhYMoOP68Q9zbmjRtmroRGfwDwYW6DpnkdsyQJiWJgg_ge9vOuBBXri6ce893OecI7fvgAaEzSkpKKL_YlDoMo36DAfy6rAjtSsJLUtE9tKCiZUXN2mYfLQjpREFZUx-io5Q2hJCqFmKBvl697a1W2QaPQ4-1CwlM4UIYcZqw5t1Zv8bKG6yDzzG4S_ycVYYijUoD7kMc3t3Wns5xhjhYr9x8m3JU1udJnc0-7Bb5DUKEPH10eIxhhJgtpBN00CuX4PRnHqPX25uX5X3x-HT3sLx-LDRrRC6g54ytmCFCqHpFu4ZXQFhjTCu6Hpq-6rpardqqA6Fb3gpmqkaQSWk4F8A5O0bdjqtjSClCL8doBxU_JSVy7lNu5K8-5dynJFxOfU7eqz9ebfM2-BzU_Yuw3BFgivhhIcqkLXgNxkbQWZpg_0H5Bu5WoAQ
CitedBy_id crossref_primary_10_1007_s10845_021_01790_3
crossref_primary_10_3390_pr13020312
crossref_primary_10_1016_j_cie_2023_109797
crossref_primary_10_1109_TAC_2021_3122365
crossref_primary_10_1016_j_ejor_2021_02_029
crossref_primary_10_1021_acs_iecr_2c02734
crossref_primary_10_3390_pr8121623
crossref_primary_10_1016_j_jprocont_2020_06_004
crossref_primary_10_1016_j_compchemeng_2023_108470
crossref_primary_10_1021_acs_iecr_3c03997
crossref_primary_10_1109_TAC_2023_3285854
crossref_primary_10_1021_acs_iecr_9b05255
crossref_primary_10_1002_aic_16615
crossref_primary_10_1016_j_compchemeng_2023_108277
crossref_primary_10_1016_j_compchemeng_2023_108365
crossref_primary_10_1002_aic_16926
crossref_primary_10_1016_j_compchemeng_2024_108686
crossref_primary_10_1016_j_compchemeng_2022_108028
crossref_primary_10_1016_j_jprocont_2023_103055
crossref_primary_10_1002_cjce_24501
crossref_primary_10_1002_aic_17344
crossref_primary_10_1016_j_compchemeng_2022_107678
crossref_primary_10_1016_j_compchemeng_2022_107859
Cites_doi 10.1016/j.compchemeng.2012.06.025
10.1016/j.compchemeng.2008.05.004
10.1016/0005-1098(89)90002-2
10.1016/j.compchemeng.2003.09.008
10.1016/S0098-1354(00)00473-7
10.1021/ie000233z
10.1016/j.compchemeng.2007.03.001
10.1016/j.arcontrol.2010.02.002
10.1016/j.automatica.2016.03.024
10.1002/aic.13801
10.1002/aic.15564
10.1016/j.compchemeng.2017.11.021
10.1016/S0005-1098(99)00214-9
10.1016/j.compchemeng.2015.04.026
10.1016/j.compchemeng.2006.02.008
10.1016/j.arcontrol.2011.10.011
10.1016/j.compchemeng.2012.06.035
10.1021/ie101419z
10.1016/j.cherd.2016.10.035
10.1016/0098-1354(93)80015-F
10.1021/ie502960p
10.1016/S0967-0661(02)00186-7
10.1002/aic.15067
10.1002/aic.15183
10.1016/j.compchemeng.2009.06.016
10.1016/j.compchemeng.2013.12.001
10.1016/j.automatica.2016.12.024
10.2307/1911532
10.1287/mnsc.34.11.1380
10.1021/ie051293d
10.1021/ie501898n
10.1002/aic.14783
10.1016/j.compchemeng.2016.08.006
10.1016/j.compchemeng.2014.01.003
ContentType Journal Article
Copyright 2019
Copyright_xml – notice: 2019
DBID AAYXX
CITATION
DOI 10.1016/j.compchemeng.2019.06.021
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1873-4375
ExternalDocumentID 10_1016_j_compchemeng_2019_06_021
S0098135419300493
GroupedDBID --K
--M
.DC
.~1
0R~
1B1
1~.
1~5
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JN
AABNK
AACTN
AAEDT
AAEDW
AAIAV
AAIKC
AAIKJ
AAKOC
AALRI
AAMNW
AAOAW
AAQFI
AAXUO
ABJNI
ABMAC
ABNUV
ABYKQ
ACDAQ
ACGFS
ACRLP
ADBBV
ADEWK
ADEZE
ADTZH
AEBSH
AECPX
AEKER
AENEX
AFKWA
AFTJW
AGHFR
AGUBO
AGYEJ
AHHHB
AHJVU
AHPOS
AIEXJ
AIKHN
AITUG
AJOXV
AKURH
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AXJTR
BJAXD
BKOJK
BLXMC
CS3
DU5
EBS
EFJIC
EFLBG
EJD
ENUVR
EO8
EO9
EP2
EP3
F5P
FDB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
IHE
J1W
JJJVA
KOM
LG9
LX7
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
RIG
ROL
RPZ
SBC
SDF
SDG
SDP
SES
SPC
SPCBC
SSG
SST
SSZ
T5K
~G-
29F
AAQXK
AATTM
AAXKI
AAYWO
AAYXX
ABFNM
ABWVN
ABXDB
ACNNM
ACRPL
ACVFH
ADCNI
ADMUD
ADNMO
AEIPS
AEUPX
AFFNX
AFJKZ
AFPUW
AFXIZ
AGCQF
AGQPQ
AGRNS
AI.
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
ASPBG
AVWKF
AZFZN
BBWZM
BNPGV
CITATION
FEDTE
FGOYB
HLY
HLZ
HVGLF
HZ~
NDZJH
R2-
SCE
SEW
SSH
VH1
WUQ
ZY4
ID FETCH-LOGICAL-c358t-ef633b3d088a4b19562e035dd789fe5f2994ab729e8c76783d2580ab75668e663
IEDL.DBID AIKHN
ISSN 0098-1354
IngestDate Tue Jul 01 03:20:51 EDT 2025
Thu Apr 24 23:03:01 EDT 2025
Fri Feb 23 02:26:08 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Model predictive control
Scheduling
State-space representation
Optimization
Closed-loop properties
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c358t-ef633b3d088a4b19562e035dd789fe5f2994ab729e8c76783d2580ab75668e663
ParticipantIDs crossref_primary_10_1016_j_compchemeng_2019_06_021
crossref_citationtrail_10_1016_j_compchemeng_2019_06_021
elsevier_sciencedirect_doi_10_1016_j_compchemeng_2019_06_021
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-10-04
PublicationDateYYYYMMDD 2019-10-04
PublicationDate_xml – month: 10
  year: 2019
  text: 2019-10-04
  day: 04
PublicationDecade 2010
PublicationTitle Computers & chemical engineering
PublicationYear 2019
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References Sand, Engell, Märkert, Schultz, Schulz (bib0031) 2000; 24
Touretzky, Harjunkoski, Baldea (bib0036) 2017; 63
Shi, You (bib0032) 2016; 62
Müller, Grüne (bib0019) 2016; 70
Kelley, Pattison, Baldick, Baldea (bib0012) 2018; 110
Mayne, Rawlings, Rao, Scokaert (bib0021) 2000; 36
Lappas, Gounaris (bib0014) 2016; 62
Risbeck, Rawlings (bib0030) 2019
Eppen, Martin (bib0005) 1988; 34
Vin, Ierapetritou (bib0037) 2000; 39
Yi, Reklaitis (bib0038) 2015; 61
Mendez, Cerdá (bib0023) 2004; 28
Subramanian, Maravelias, Rawlings (bib0033) 2012; 47
McKenzie (bib0022) 1976; 44
Subramanian, Rawlings, Maravelias (bib0034) 2014; 64
Qin, Badgwell (bib0026) 2003; 11
Gupta, Maravelias (bib0008) 2016; 94
Camacho, Ramirez, Limon, de la Peña, Alamo (bib0002) 2010; 34
Chu, You (bib0003) 2012; 47
Flores-Tlacuahuac, Grossmann (bib0006) 2006; 45
Kondili, Pantelides, Sargent (bib0013) 1993; 17
Li, Floudas (bib0015) 2014; 53
You, Grossmann (bib0039) 2008; 32
Harjunkoski, Nyström, Horch (bib0011) 2009; 33
Risbeck (bib0029) 2018
Rawlings, Risbeck (bib0028) 2017; 78
Amrit, Rawlings, Angeli (bib0001) 2011; 35
Harjunkoski, Maravelias, Bongers, Castro, Engell, Grossmann, Hooker, Méndez, Sand, Wassick (bib0010) 2014; 62
Nie, Biegler, Villa, Wassick (bib0024) 2015; 54
Sundaramoorthy, Maravelias (bib0035) 2011; 50
Li, Ierapetritou (bib0016) 2008; 32
Gupta, Maravelias, Wassick (bib0009) 2016; 116
Maravelias (bib0020) 2012; 58
Méndez, Cerdá, Grossmann, Harjunkoski, Fahl (bib0018) 2006; 30
Rawlings, Mayne, Diehl (bib0027) 2017
Du, Park, Harjunkoski, Baldea (bib0004) 2015; 79
García, Prett, Morari (bib0007) 1989; 25
Limon, Alamo, de la Peña, Zeilinger, Jones, Pereira (bib0017) 2012
Pantelides (bib0025) 1994
Eppen (10.1016/j.compchemeng.2019.06.021_bib0005) 1988; 34
Risbeck (10.1016/j.compchemeng.2019.06.021_sbref0030) 2019
You (10.1016/j.compchemeng.2019.06.021_bib0039) 2008; 32
Sundaramoorthy (10.1016/j.compchemeng.2019.06.021_bib0035) 2011; 50
Mendez (10.1016/j.compchemeng.2019.06.021_bib0023) 2004; 28
Shi (10.1016/j.compchemeng.2019.06.021_bib0032) 2016; 62
Touretzky (10.1016/j.compchemeng.2019.06.021_bib0036) 2017; 63
Gupta (10.1016/j.compchemeng.2019.06.021_bib0009) 2016; 116
Flores-Tlacuahuac (10.1016/j.compchemeng.2019.06.021_bib0006) 2006; 45
Gupta (10.1016/j.compchemeng.2019.06.021_bib0008) 2016; 94
Rawlings (10.1016/j.compchemeng.2019.06.021_bib0028) 2017; 78
Subramanian (10.1016/j.compchemeng.2019.06.021_bib0033) 2012; 47
Pantelides (10.1016/j.compchemeng.2019.06.021_bib0025) 1994
Harjunkoski (10.1016/j.compchemeng.2019.06.021_bib0011) 2009; 33
Subramanian (10.1016/j.compchemeng.2019.06.021_bib0034) 2014; 64
Maravelias (10.1016/j.compchemeng.2019.06.021_bib0020) 2012; 58
Yi (10.1016/j.compchemeng.2019.06.021_bib0038) 2015; 61
Méndez (10.1016/j.compchemeng.2019.06.021_bib0018) 2006; 30
García (10.1016/j.compchemeng.2019.06.021_bib0007) 1989; 25
Li (10.1016/j.compchemeng.2019.06.021_bib0016) 2008; 32
Limon (10.1016/j.compchemeng.2019.06.021_bib0017) 2012
Chu (10.1016/j.compchemeng.2019.06.021_bib0003) 2012; 47
Müller (10.1016/j.compchemeng.2019.06.021_bib0019) 2016; 70
Kelley (10.1016/j.compchemeng.2019.06.021_bib0012) 2018; 110
Risbeck (10.1016/j.compchemeng.2019.06.021_bib0029) 2018
Sand (10.1016/j.compchemeng.2019.06.021_bib0031) 2000; 24
Amrit (10.1016/j.compchemeng.2019.06.021_bib0001) 2011; 35
Vin (10.1016/j.compchemeng.2019.06.021_bib0037) 2000; 39
McKenzie (10.1016/j.compchemeng.2019.06.021_bib0022) 1976; 44
Du (10.1016/j.compchemeng.2019.06.021_bib0004) 2015; 79
Rawlings (10.1016/j.compchemeng.2019.06.021_bib0027) 2017
Qin (10.1016/j.compchemeng.2019.06.021_bib0026) 2003; 11
Mayne (10.1016/j.compchemeng.2019.06.021_bib0021) 2000; 36
Harjunkoski (10.1016/j.compchemeng.2019.06.021_bib0010) 2014; 62
Lappas (10.1016/j.compchemeng.2019.06.021_bib0014) 2016; 62
Li (10.1016/j.compchemeng.2019.06.021_bib0015) 2014; 53
Camacho (10.1016/j.compchemeng.2019.06.021_bib0002) 2010; 34
Kondili (10.1016/j.compchemeng.2019.06.021_bib0013) 1993; 17
Nie (10.1016/j.compchemeng.2019.06.021_bib0024) 2015; 54
References_xml – volume: 25
  start-page: 335
  year: 1989
  end-page: 348
  ident: bib0007
  article-title: Model predictive control: theory and practice—a survey
  publication-title: Automatica
– volume: 32
  start-page: 3090
  year: 2008
  end-page: 3111
  ident: bib0039
  article-title: Design of responsive supply chains under demand uncertainty
  publication-title: Comput. Chem. Eng.
– start-page: 253
  year: 1994
  end-page: 274
  ident: bib0025
  article-title: Unified frameworks for optimal process planning and scheduling
  publication-title: Proceedings on the second conference on foundations of computer aided operations
– volume: 36
  start-page: 789
  year: 2000
  end-page: 814
  ident: bib0021
  article-title: Constrained model predictive control: stability and optimality
  publication-title: Automatica
– volume: 70
  start-page: 128
  year: 2016
  end-page: 139
  ident: bib0019
  article-title: Economic model predictive control without terminal constraints for optimal periodic behavior
  publication-title: Automatica
– volume: 17
  start-page: 211
  year: 1993
  end-page: 227
  ident: bib0013
  article-title: A general algorithm for short-term scheduling of batch operations—i. MILP formulation
  publication-title: Comput. Chem. Eng.
– volume: 61
  start-page: 1867
  year: 2015
  end-page: 1880
  ident: bib0038
  article-title: Adaptive model predictive inventory controller for multiproduct batch plant
  publication-title: AIChE J.
– volume: 28
  start-page: 1059
  year: 2004
  end-page: 1068
  ident: bib0023
  article-title: An MILP framework for batch reactive scheduling with limited discrete resources
  publication-title: Comput. Chem. Eng.
– volume: 62
  start-page: 687
  year: 2016
  end-page: 703
  ident: bib0032
  article-title: A computational framework and solution algorithms for two-stage adaptive robust scheduling of batch manufacturing processes under uncertainty
  publication-title: AIChE J.
– year: 2018
  ident: bib0029
  publication-title: Mixed-Integer Model Predictive Control with Applications to Building Energy Systems
– volume: 79
  start-page: 59
  year: 2015
  end-page: 69
  ident: bib0004
  article-title: A time scale-bridging approach for integrating production scheduling and process control
  publication-title: Comput. Chem. Eng.
– volume: 35
  start-page: 178
  year: 2011
  end-page: 186
  ident: bib0001
  article-title: Economic optimization using model predictive control with a terminal cost
  publication-title: Annu. Rev. Control
– volume: 94
  start-page: 312
  year: 2016
  end-page: 330
  ident: bib0008
  article-title: On deterministic online scheduling: major considerations, paradoxes and remedies
  publication-title: Comput. Chem. Eng.
– volume: 64
  start-page: 71
  year: 2014
  end-page: 80
  ident: bib0034
  article-title: Economic model predictive control for inventory management in supply chains
  publication-title: Comput. Chem. Eng.
– volume: 54
  start-page: 4303
  year: 2015
  end-page: 4315
  ident: bib0024
  article-title: Discrete time formulation for the integration of scheduling and dynamic optimization
  publication-title: Ind. Eng. Chem. Res.
– volume: 32
  start-page: 715
  year: 2008
  end-page: 727
  ident: bib0016
  article-title: Process scheduling under uncertainty: review and challenges
  publication-title: Comput. Chem. Eng.
– volume: 30
  start-page: 913
  year: 2006
  end-page: 946
  ident: bib0018
  article-title: State-of-the-art review of optimization methods for short-term scheduling of batch processes
  publication-title: Comput. Chem. Eng.
– volume: 78
  start-page: 258
  year: 2017
  end-page: 265
  ident: bib0028
  article-title: Model predictive control with discrete actuators: theory and application
  publication-title: Automatica
– volume: 62
  start-page: 161
  year: 2014
  end-page: 193
  ident: bib0010
  article-title: Scope for industrial applications of production scheduling models and solution methods
  publication-title: Comput. Chem. Eng.
– volume: 58
  start-page: 1812
  year: 2012
  end-page: 1828
  ident: bib0020
  article-title: General framework and modeling approach classification for chemical production scheduling
  publication-title: AIChE J.
– volume: 34
  start-page: 21
  year: 2010
  end-page: 31
  ident: bib0002
  article-title: Model predictive control techniques for hybrid systems
  publication-title: Annu. Rev. Control
– volume: 62
  start-page: 1646
  year: 2016
  end-page: 1667
  ident: bib0014
  article-title: Multi-stage adjustable robust optimization for process scheduling under uncertainty
  publication-title: AIChE J.
– volume: 11
  start-page: 733
  year: 2003
  end-page: 764
  ident: bib0026
  article-title: A survey of industrial model predictive control technology
  publication-title: Control Eng. Pract.
– year: 2012
  ident: bib0017
  article-title: MPC for tracking periodic reference signals
  publication-title: Proceedings of the IFAC Conference on Nonlinear Model Predictive Control
– year: 2017
  ident: bib0027
  article-title: Model Predictive Control: Theory, Computation and Design
– volume: 47
  start-page: 97
  year: 2012
  end-page: 110
  ident: bib0033
  article-title: A state-space model for chemical production scheduling
  publication-title: Comput. Chem. Eng.
– volume: 34
  start-page: 1380
  year: 1988
  end-page: 1390
  ident: bib0005
  article-title: Determining safety stock in the presence of stochastic lead time and demand
  publication-title: Manage. Sci.
– volume: 45
  start-page: 6698
  year: 2006
  end-page: 6712
  ident: bib0006
  article-title: Simultaneous cyclic scheduling and control of a multiproduct CSTR
  publication-title: Ind. Eng. Chem. Res.
– volume: 24
  start-page: 361
  year: 2000
  end-page: 367
  ident: bib0031
  article-title: Approximation of an ideal online scheduler for a multiproduct batch plant
  publication-title: Comput. Chem. Eng.
– volume: 110
  start-page: 35
  year: 2018
  end-page: 52
  ident: bib0012
  article-title: An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations
  publication-title: Comput. Chem. Eng.
– volume: 44
  start-page: 841
  year: 1976
  ident: bib0022
  article-title: Turnpike theory
  publication-title: Econometrica
– volume: 47
  start-page: 248
  year: 2012
  end-page: 268
  ident: bib0003
  article-title: Integration of scheduling and control with online closed-loop implementation: fast computational strategy and large-scale global optimization algorithm
  publication-title: Comput. Chem. Eng.
– volume: 63
  start-page: 1959
  year: 2017
  end-page: 1973
  ident: bib0036
  article-title: Dynamic models and fault diagnosis-based triggers for closed-loop scheduling
  publication-title: AIChE J.
– volume: 116
  year: 2016
  ident: bib0009
  article-title: From rescheduling to online scheduling
  publication-title: Chem. Eng. Res. Des.
– volume: 33
  start-page: 1909
  year: 2009
  end-page: 1918
  ident: bib0011
  article-title: Integration of scheduling and control—theory or practice?
  publication-title: Comput. Chem. Eng.
– volume: 39
  start-page: 4228
  year: 2000
  end-page: 4238
  ident: bib0037
  article-title: A new approach for efficient rescheduling of multiproduct batch plants
  publication-title: Ind. Eng. Chem. Res.
– volume: 50
  start-page: 5023
  year: 2011
  end-page: 5040
  ident: bib0035
  article-title: Computational study of network-based mixed-integer programming approaches for chemical production scheduling
  publication-title: Ind. Eng. Chem. Res.
– year: 2019
  ident: bib0030
  article-title: Economic MPC for time-varying cost and peak demand charge optimization
  publication-title: IEEE Trans. Auto. Cont.
– volume: 53
  start-page: 13112
  year: 2014
  end-page: 13124
  ident: bib0015
  article-title: A comparative theoretical and computational study on robust counterpart optimization: iii. Improving the quality of robust solutions
  publication-title: Ind. Eng. Chem. Res.
– volume: 47
  start-page: 97
  year: 2012
  ident: 10.1016/j.compchemeng.2019.06.021_bib0033
  article-title: A state-space model for chemical production scheduling
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2012.06.025
– volume: 32
  start-page: 3090
  issue: 12
  year: 2008
  ident: 10.1016/j.compchemeng.2019.06.021_bib0039
  article-title: Design of responsive supply chains under demand uncertainty
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2008.05.004
– year: 2019
  ident: 10.1016/j.compchemeng.2019.06.021_sbref0030
  article-title: Economic MPC for time-varying cost and peak demand charge optimization
  publication-title: IEEE Trans. Auto. Cont.
– volume: 25
  start-page: 335
  issue: 3
  year: 1989
  ident: 10.1016/j.compchemeng.2019.06.021_bib0007
  article-title: Model predictive control: theory and practice—a survey
  publication-title: Automatica
  doi: 10.1016/0005-1098(89)90002-2
– volume: 28
  start-page: 1059
  issue: 6–7
  year: 2004
  ident: 10.1016/j.compchemeng.2019.06.021_bib0023
  article-title: An MILP framework for batch reactive scheduling with limited discrete resources
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2003.09.008
– volume: 24
  start-page: 361
  issue: 2–7
  year: 2000
  ident: 10.1016/j.compchemeng.2019.06.021_bib0031
  article-title: Approximation of an ideal online scheduler for a multiproduct batch plant
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/S0098-1354(00)00473-7
– volume: 39
  start-page: 4228
  issue: 11
  year: 2000
  ident: 10.1016/j.compchemeng.2019.06.021_bib0037
  article-title: A new approach for efficient rescheduling of multiproduct batch plants
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie000233z
– volume: 32
  start-page: 715
  issue: 4–5
  year: 2008
  ident: 10.1016/j.compchemeng.2019.06.021_bib0016
  article-title: Process scheduling under uncertainty: review and challenges
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2007.03.001
– volume: 34
  start-page: 21
  issue: 1
  year: 2010
  ident: 10.1016/j.compchemeng.2019.06.021_bib0002
  article-title: Model predictive control techniques for hybrid systems
  publication-title: Annu. Rev. Control
  doi: 10.1016/j.arcontrol.2010.02.002
– volume: 70
  start-page: 128
  year: 2016
  ident: 10.1016/j.compchemeng.2019.06.021_bib0019
  article-title: Economic model predictive control without terminal constraints for optimal periodic behavior
  publication-title: Automatica
  doi: 10.1016/j.automatica.2016.03.024
– volume: 58
  start-page: 1812
  issue: 6
  year: 2012
  ident: 10.1016/j.compchemeng.2019.06.021_bib0020
  article-title: General framework and modeling approach classification for chemical production scheduling
  publication-title: AIChE J.
  doi: 10.1002/aic.13801
– volume: 63
  start-page: 1959
  issue: 6
  year: 2017
  ident: 10.1016/j.compchemeng.2019.06.021_bib0036
  article-title: Dynamic models and fault diagnosis-based triggers for closed-loop scheduling
  publication-title: AIChE J.
  doi: 10.1002/aic.15564
– year: 2012
  ident: 10.1016/j.compchemeng.2019.06.021_bib0017
  article-title: MPC for tracking periodic reference signals
– volume: 110
  start-page: 35
  year: 2018
  ident: 10.1016/j.compchemeng.2019.06.021_bib0012
  article-title: An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2017.11.021
– volume: 36
  start-page: 789
  issue: 6
  year: 2000
  ident: 10.1016/j.compchemeng.2019.06.021_bib0021
  article-title: Constrained model predictive control: stability and optimality
  publication-title: Automatica
  doi: 10.1016/S0005-1098(99)00214-9
– volume: 79
  start-page: 59
  year: 2015
  ident: 10.1016/j.compchemeng.2019.06.021_bib0004
  article-title: A time scale-bridging approach for integrating production scheduling and process control
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2015.04.026
– volume: 30
  start-page: 913
  issue: 6–7
  year: 2006
  ident: 10.1016/j.compchemeng.2019.06.021_bib0018
  article-title: State-of-the-art review of optimization methods for short-term scheduling of batch processes
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2006.02.008
– volume: 35
  start-page: 178
  issue: 2
  year: 2011
  ident: 10.1016/j.compchemeng.2019.06.021_bib0001
  article-title: Economic optimization using model predictive control with a terminal cost
  publication-title: Annu. Rev. Control
  doi: 10.1016/j.arcontrol.2011.10.011
– volume: 47
  start-page: 248
  year: 2012
  ident: 10.1016/j.compchemeng.2019.06.021_bib0003
  article-title: Integration of scheduling and control with online closed-loop implementation: fast computational strategy and large-scale global optimization algorithm
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2012.06.035
– volume: 50
  start-page: 5023
  issue: 9
  year: 2011
  ident: 10.1016/j.compchemeng.2019.06.021_bib0035
  article-title: Computational study of network-based mixed-integer programming approaches for chemical production scheduling
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie101419z
– volume: 116
  year: 2016
  ident: 10.1016/j.compchemeng.2019.06.021_bib0009
  article-title: From rescheduling to online scheduling
  publication-title: Chem. Eng. Res. Des.
  doi: 10.1016/j.cherd.2016.10.035
– volume: 17
  start-page: 211
  issue: 2
  year: 1993
  ident: 10.1016/j.compchemeng.2019.06.021_bib0013
  article-title: A general algorithm for short-term scheduling of batch operations—i. MILP formulation
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/0098-1354(93)80015-F
– volume: 54
  start-page: 4303
  issue: 16
  year: 2015
  ident: 10.1016/j.compchemeng.2019.06.021_bib0024
  article-title: Discrete time formulation for the integration of scheduling and dynamic optimization
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie502960p
– volume: 11
  start-page: 733
  issue: 7
  year: 2003
  ident: 10.1016/j.compchemeng.2019.06.021_bib0026
  article-title: A survey of industrial model predictive control technology
  publication-title: Control Eng. Pract.
  doi: 10.1016/S0967-0661(02)00186-7
– volume: 62
  start-page: 687
  issue: 3
  year: 2016
  ident: 10.1016/j.compchemeng.2019.06.021_bib0032
  article-title: A computational framework and solution algorithms for two-stage adaptive robust scheduling of batch manufacturing processes under uncertainty
  publication-title: AIChE J.
  doi: 10.1002/aic.15067
– volume: 62
  start-page: 1646
  issue: 5
  year: 2016
  ident: 10.1016/j.compchemeng.2019.06.021_bib0014
  article-title: Multi-stage adjustable robust optimization for process scheduling under uncertainty
  publication-title: AIChE J.
  doi: 10.1002/aic.15183
– volume: 33
  start-page: 1909
  issue: 12
  year: 2009
  ident: 10.1016/j.compchemeng.2019.06.021_bib0011
  article-title: Integration of scheduling and control—theory or practice?
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2009.06.016
– start-page: 253
  year: 1994
  ident: 10.1016/j.compchemeng.2019.06.021_bib0025
  article-title: Unified frameworks for optimal process planning and scheduling
– volume: 62
  start-page: 161
  year: 2014
  ident: 10.1016/j.compchemeng.2019.06.021_bib0010
  article-title: Scope for industrial applications of production scheduling models and solution methods
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2013.12.001
– year: 2017
  ident: 10.1016/j.compchemeng.2019.06.021_bib0027
– volume: 78
  start-page: 258
  year: 2017
  ident: 10.1016/j.compchemeng.2019.06.021_bib0028
  article-title: Model predictive control with discrete actuators: theory and application
  publication-title: Automatica
  doi: 10.1016/j.automatica.2016.12.024
– year: 2018
  ident: 10.1016/j.compchemeng.2019.06.021_bib0029
– volume: 44
  start-page: 841
  issue: 5
  year: 1976
  ident: 10.1016/j.compchemeng.2019.06.021_bib0022
  article-title: Turnpike theory
  publication-title: Econometrica
  doi: 10.2307/1911532
– volume: 34
  start-page: 1380
  issue: 11
  year: 1988
  ident: 10.1016/j.compchemeng.2019.06.021_bib0005
  article-title: Determining safety stock in the presence of stochastic lead time and demand
  publication-title: Manage. Sci.
  doi: 10.1287/mnsc.34.11.1380
– volume: 45
  start-page: 6698
  issue: 20
  year: 2006
  ident: 10.1016/j.compchemeng.2019.06.021_bib0006
  article-title: Simultaneous cyclic scheduling and control of a multiproduct CSTR
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie051293d
– volume: 53
  start-page: 13112
  issue: 33
  year: 2014
  ident: 10.1016/j.compchemeng.2019.06.021_bib0015
  article-title: A comparative theoretical and computational study on robust counterpart optimization: iii. Improving the quality of robust solutions
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie501898n
– volume: 61
  start-page: 1867
  issue: 6
  year: 2015
  ident: 10.1016/j.compchemeng.2019.06.021_bib0038
  article-title: Adaptive model predictive inventory controller for multiproduct batch plant
  publication-title: AIChE J.
  doi: 10.1002/aic.14783
– volume: 94
  start-page: 312
  year: 2016
  ident: 10.1016/j.compchemeng.2019.06.021_bib0008
  article-title: On deterministic online scheduling: major considerations, paradoxes and remedies
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2016.08.006
– volume: 64
  start-page: 71
  year: 2014
  ident: 10.1016/j.compchemeng.2019.06.021_bib0034
  article-title: Economic model predictive control for inventory management in supply chains
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2014.01.003
SSID ssj0002488
Score 2.4297948
Snippet Due to increases in both connectivity of process systems and availability of computing power, there is growing interest in the integration of online scheduling...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 106496
SubjectTerms Closed-loop properties
Model predictive control
Optimization
Scheduling
State-space representation
Title Unification of closed-loop scheduling and control: State-space formulations, terminal constraints, and nominal theoretical properties
URI https://dx.doi.org/10.1016/j.compchemeng.2019.06.021
Volume 129
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NS8QwEB10BdGD-InfRPBodJuk3US8iCiroicFb6VNE1HWdtldr9783850U11BUPDYtK-0SZj3Et5MAPaVtVLg8pgbY2OuOl5ynaiMC4mLEXItZhHlO9_cJt17dfUQP0zBWZMLQ7bKEPvHMb2O1qHlKPTmUf_piXJ8jY7wlShBSOfKaZgR0iRxC2ZOL6-7t58BWSitm9KZBJiFvS-bFzm3sXteXPlIRi9TV_MU0c80NUE9F4uwEDQjOx1_1hJMuXIZ5icqCa7AO2pHH7bfWOWZ7VVDV_BeVfUZrl-RTyjtnGVlwYI5_ZjVOpNjRLGOkXQNB3kND1hwyPTo2WF9iMQIWwlMScx0YyL_kfVpP39AhVlX4f7i_O6sy8MJC9zKWI-484mUuSww1GQqp9RB4doyLoqONt7FHrlKZTnqb6dtB2lNFiLWbWxBEagdipU1aJVV6daBRTaPEeSTvO2V9co4pEZtEZmbti7MBuimQ1Mbyo_TD_TSxmf2nE6MRUpjkZLnTkQbID6h_XENjr-ATppRS79NqBS54nf45v_gWzBHV7XrT21DazR4dTuoXkb5LkwfvkW7YY5-AGAa80g
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3dS8MwED90Az8exE_8NoKPBtcm3VLxRYZj021PCnsrbZrIZLbDzT_B_9u7Lp0TBAVfk_5Kewl3vwu_uwBcSK2Fj-kxD0MdcNmwgqu6jLkvMBkh1WLsUb1zr19vP8n7QTBYgmZZC0OySuf7Zz698NZu5MpZ82o8HFKNb6g8fCVSEOK5YhmqMsBsrwLV285Duz93yL5UqmydSYAVOP-SeZFyG83zarJnEnqFRTdP3_s5TC2EntYmbDjOyG5nn7UFSybbhvWFToI78IHc0brjN5Zbpkf5xKR8lOdjhvkrxhMqO2dxljInTr9mBc_k6FG0YURd3UVek0vmFDIjenZSXCIxxVECUxEzTSzUP7Ixnee_UWPWXXhq3T0229zdsMC1CNSUG1sXIhEpuppYJlQ66JuaCNK0oUJrAouxSsYJ8m-jdAPDmkj9QNVwBEmgMkhW9qCS5ZnZB-bpJECQrSc1K7WVocHQqDQik7Cm0vAAVGnQSLv24_QDo6jUmb1EC2sR0VpEpLnzvQPw59DxrAfHX0A35apF3zZUhLHid_jh_-BnsNp-7HWjbqf_cARrNFMoAOUxVKZv7-YEmcw0OXU79RM1CPU3
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=Unification+of+closed-loop+scheduling+and+control%3A+State-space+formulations%2C+terminal+constraints%2C+and+nominal+theoretical+properties&rft.jtitle=Computers+%26+chemical+engineering&rft.au=Risbeck%2C+Michael+J.&rft.au=Maravelias%2C+Christos+T.&rft.au=Rawlings%2C+James+B.&rft.date=2019-10-04&rft.issn=0098-1354&rft.volume=129&rft.spage=106496&rft_id=info:doi/10.1016%2Fj.compchemeng.2019.06.021&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_compchemeng_2019_06_021
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0098-1354&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0098-1354&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0098-1354&client=summon