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Integration of process scheduling and control

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TitleInfo
Title
Integration of process scheduling and control
Name (type = personal)
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Zhuge
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Jinjun
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Jinjun Zhuge
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author
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Marianthi
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Marianthi Ierapetritou
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Advisory Committee
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chair
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Androulakis
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Ioannis
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Ioannis Androulakis
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Advisory Committee
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internal member
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Dutt
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Meenakshi
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Meenakshi Dutt
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Advisory Committee
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internal member
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Ramachandran
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Rohit
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Rohit Ramachandran
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Advisory Committee
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internal member
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Albin
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Susan
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Susan Albin
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Advisory Committee
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outside member
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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Text
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theses
OriginInfo
DateCreated (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Place
PlaceTerm (type = code)
xx
Language
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eng
Abstract (type = abstract)
The objective of this dissertation is to develop integrated models and optimization methods to solve for chemical process scheduling and control problems. A traditional approach to handle process operations at scheduling and control levels is to consider them as separate optimization problems. However, scheduling and dynamic optimization at control level are naturally connected. An integrated decision making helps to achieve an overall optimality and thus improves the profitability of process operations. Integration of scheduling and control results in Mixed Integer Dynamic Optimization (MIDO) which is computationally expensive. To reduce the complexity brought by integration, research efforts of this dissertation target two goals focusing on first reducing the model complexity, and second reducing the solution computational time especially in the case of online implementations (i.e. closed loop implementations). In this dissertation, we first proposed an approach of implementing closed loop scheduling and control when the processes are subject to disturbance. Then we proposed a decomposition approach for the large size Mixed Integer Nonlinear Programming (MINLP) resulted from the integration of scheduling and control through sensitivity analysis. To facilitate online applications, we adopt multi-parametric Model Predictive Control (mp-MPC) at the control level and built a new integrated model using the explicit control solution generated by mp-MPC. We also developed an integrated model using a Piecewise Affine (PWA) model and used fast MPC at the control level to overcome the exponential dimension increasing in mp-MPC. Finally we discuss the uncertainty in process operations and present solution procedures of robust MPC for nonlinear problem at the control level. Throughout this dissertation, detailed integrated models and the solution algorithms are developed and case studies are used to demonstrate the effectiveness of the proposed approaches.
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_6321
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 156 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Production scheduling
Subject (authority = ETD-LCSH)
Topic
Mathematical optimization
Note (type = statement of responsibility)
by Jinjun Zhuge
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3862J92
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Zhuge
GivenName
Jinjun
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-04-12 22:58:19
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Name
Jinjun Zhuge
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
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Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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ETD
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windows xp
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