Integrating production scheduling and process control using latent variable dynamic models

Tsay, Calvin; Baldea, Michael

doi:10.1016/j.conengprac.2019.104201

Title: Integrating production scheduling and process control using latent variable dynamic models

Authors:: Tsay, Calvin; Baldea, Michael

Publication Date:: Wed Jan 01 00:00:00 EST 2020

Sponsoring Org.:: USDOE

OSTI Identifier:: 1573872

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Control Engineering Practice

Additional Journal Information:: Journal Name: Control Engineering Practice Journal Volume: 94 Journal Issue: C; Journal ID: ISSN 0967-0661

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Tsay, Calvin, and Baldea, Michael. Integrating production scheduling and process control using latent variable dynamic models.  United Kingdom: N. p., 2020. 
Web.  doi:10.1016/j.conengprac.2019.104201.

Copy to clipboard


                    Tsay, Calvin, & Baldea, Michael. Integrating production scheduling and process control using latent variable dynamic models.  United Kingdom.  https://doi.org/10.1016/j.conengprac.2019.104201

Copy to clipboard


                    Tsay, Calvin, and Baldea, Michael. Wed .  
"Integrating production scheduling and process control using latent variable dynamic models".  United Kingdom.  https://doi.org/10.1016/j.conengprac.2019.104201.

Copy to clipboard


                    
@article{osti_1573872,

  title        = {Integrating production scheduling and process control using latent variable dynamic models},

  author       = {Tsay, Calvin and Baldea, Michael},

  abstractNote = {},

  doi          = {10.1016/j.conengprac.2019.104201},

  journal      = {Control Engineering Practice},

  number       = C,

  volume       = 94,

  place        = {United Kingdom},

  year         = {Wed Jan 01 00:00:00 EST 2020},

  month        = {Wed Jan 01 00:00:00 EST 2020}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
https://doi.org/10.1016/j.conengprac.2019.104201

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 22 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes
journal, December 2017

Beal, Logan; Petersen, Damon; Pila, Guilherme
Processes, Vol. 5, Issue 4
DOI: 10.3390/pr5040084

A Stable and Robust NMPC Strategy with Reduced Models and Nonuniform Grids
journal, January 2016

Yu, Mingzhao; Biegler, Lorenz T.
IFAC-PapersOnLine, Vol. 49, Issue 7
DOI: 10.1016/j.ifacol.2016.07.212

A Global Geometric Framework for Nonlinear Dimensionality Reduction
journal, December 2000

Tenenbaum, J. B.
Science, Vol. 290, Issue 5500
DOI: 10.1126/science.290.5500.2319

Nonlinear principal component analysis using autoassociative neural networks
journal, February 1991

Kramer, Mark A.
AIChE Journal, Vol. 37, Issue 2
DOI: 10.1002/aic.690370209

Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets
journal, February 2015

Zhang, Qi; Grossmann, Ignacio E.; Heuberger, Clara F.
AIChE Journal, Vol. 61, Issue 5
DOI: 10.1002/aic.14730

An overview of simultaneous strategies for dynamic optimization
journal, November 2007

Biegler, Lorenz T.
Chemical Engineering and Processing: Process Intensification, Vol. 46, Issue 11
DOI: 10.1016/j.cep.2006.06.021

A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units
journal, May 2018

Dias, Lisia S.; Pattison, Richard C.; Tsay, Calvin
Computers & Chemical Engineering, Vol. 113
DOI: 10.1016/j.compchemeng.2018.03.009

Latent variable MPC for trajectory tracking in batch processes
journal, September 2005

Flores-Cerrillo, Jesus; MacGregor, John F.
Journal of Process Control, Vol. 15, Issue 6
DOI: 10.1016/j.jprocont.2005.01.004

Diffusion maps
journal, July 2006

Coifman, Ronald R.; Lafon, Stéphane
Applied and Computational Harmonic Analysis, Vol. 21, Issue 1
DOI: 10.1016/j.acha.2006.04.006

An MILP framework for optimizing demand response operation of air separation units
journal, July 2018

Kelley, Morgan T.; Pattison, Richard C.; Baldick, Ross
Applied Energy, Vol. 222
DOI: 10.1016/j.apenergy.2017.12.127

Optimal unsupervised learning in a single-layer linear feedforward neural network
journal, January 1989

Sanger, Terence D.
Neural Networks, Vol. 2, Issue 6
DOI: 10.1016/0893-6080(89)90044-0

LIII. On lines and planes of closest fit to systems of points in space
journal, November 1901

Pearson, Karl
The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, Vol. 2, Issue 11
DOI: 10.1080/14786440109462720

Integrated scheduling and control in discrete-time with dynamic parameters and constraints
journal, July 2018

Beal, Logan D. R.; Petersen, Damon; Grimsman, David
Computers & Chemical Engineering, Vol. 115
DOI: 10.1016/j.compchemeng.2018.04.010

Integrating operations and control: A perspective and roadmap for future research
journal, July 2018

Daoutidis, Prodromos; Lee, Jay H.; Harjunkoski, Iiro
Computers & Chemical Engineering, Vol. 115
DOI: 10.1016/j.compchemeng.2018.04.011

A multi-scale optimization framework for electricity market participation
journal, March 2017

Dowling, Alexander W.; Kumar, Ranjeet; Zavala, Victor M.
Applied Energy, Vol. 190
DOI: 10.1016/j.apenergy.2016.12.081

Production scheduling and linear MPC: Complete integration via complementarity conditions
journal, June 2019

Simkoff, Jodie M.; Baldea, Michael
Computers & Chemical Engineering, Vol. 125
DOI: 10.1016/j.compchemeng.2019.01.024

Production campaign planning including grade transition sequencing and dynamic optimization
journal, September 2005

Nyström, Rasmus H.; Franke, Rüdiger; Harjunkoski, Iiro
Computers & Chemical Engineering, Vol. 29, Issue 10
DOI: 10.1016/j.compchemeng.2005.07.006

A discrete-time scheduling model for continuous power-intensive process networks with various power contracts
journal, January 2016

Zhang, Qi; Sundaramoorthy, Arul; Grossmann, Ignacio E.
Computers & Chemical Engineering, Vol. 84
DOI: 10.1016/j.compchemeng.2015.09.019

Data-based latent variable methods for process analysis, monitoring and control
journal, May 2005

MacGregor, John F.; Yu, Honglu; García Muñoz, Salvador
Computers & Chemical Engineering, Vol. 29, Issue 6
DOI: 10.1016/j.compchemeng.2005.02.007

A survey of industrial model predictive control technology
journal, July 2003

Qin, S. Joe; Badgwell, Thomas A.
Control Engineering Practice, Vol. 11, Issue 7, p. 733-764
DOI: 10.1016/S0967-0661(02)00186-7

Nonlinear Dimensionality Reduction by Locally Linear Embedding
journal, December 2000

Roweis, S. T.
Science, Vol. 290, Issue 5500
DOI: 10.1126/science.290.5500.2323

Reducing the Dimensionality of Data with Neural Networks
journal, July 2006

Hinton, G. E.
Science, Vol. 313, Issue 5786
DOI: 10.1126/science.1127647

Grid-level “battery” operation of chemical processes and demand-side participation in short-term electricity markets
journal, June 2018

Otashu, Joannah I.; Baldea, Michael
Applied Energy, Vol. 220
DOI: 10.1016/j.apenergy.2018.03.034

Novel Formulation for Optimal Schedule with Demand Side Management in Multiproduct Air Separation Processes
journal, January 2019

Zhao, Shengnan; Ochoa, M. Paz; Tang, Lixin
Industrial & Engineering Chemistry Research, Vol. 58, Issue 8
DOI: 10.1021/acs.iecr.8b04964

Simultaneous Process Scheduling and Control: A Multiparametric Programming-Based Approach
journal, February 2018

Burnak, Baris; Katz, Justin; Diangelakis, Nikolaos A.
Industrial & Engineering Chemistry Research, Vol. 57, Issue 11
DOI: 10.1021/acs.iecr.7b04457

Discrete Time Formulation for the Integration of Scheduling and Dynamic Optimization
journal, October 2014

Nie, Yisu; Biegler, Lorenz T.; Villa, Carlos M.
Industrial & Engineering Chemistry Research, Vol. 54, Issue 16
DOI: 10.1021/ie502960p

Optimal scheduling of multiple sets of air separation units with frequent load-change operation
journal, January 2017

Zhou, Danyan; Zhou, Kai; Zhu, Lingyu
Separation and Purification Technology, Vol. 172
DOI: 10.1016/j.seppur.2016.08.009

Integrated production scheduling and process control: A systematic review
journal, December 2014

Baldea, Michael; Harjunkoski, Iiro
Computers & Chemical Engineering, Vol. 71
DOI: 10.1016/j.compchemeng.2014.09.002

A time scale-bridging approach for integrating production scheduling and process control
journal, August 2015

Du, Juan; Park, Jungup; Harjunkoski, Iiro
Computers & Chemical Engineering, Vol. 79
DOI: 10.1016/j.compchemeng.2015.04.026

Perspectives in multiparametric programming and explicit model predictive control
journal, August 2009

Pistikopoulos, E. N.
AIChE Journal, Vol. 55, Issue 8
DOI: 10.1002/aic.11965

Moving horizon closed-loop production scheduling using dynamic process models
journal, July 2016

Pattison, Richard C.; Touretzky, Cara R.; Harjunkoski, Iiro
AIChE Journal, Vol. 63, Issue 2
DOI: 10.1002/aic.15408

Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
journal, July 2019

Tsay, Calvin; Kumar, Ankur; Flores-Cerrillo, Jesus
Computers & Chemical Engineering, Vol. 126
DOI: 10.1016/j.compchemeng.2019.03.022

Integrated production scheduling and model predictive control of continuous processes
journal, August 2015

Baldea, Michael; Du, Juan; Park, Jungup
AIChE Journal, Vol. 61, Issue 12
DOI: 10.1002/aic.14951

An improved method for nonlinear model reduction using balancing of empirical gramians
journal, October 2002

Hahn, Juergen; Edgar, Thomas F.
Computers & Chemical Engineering, Vol. 26, Issue 10
DOI: 10.1016/S0098-1354(02)00120-5

Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units
journal, January 2018

Caspari, Adrian; Faust, Johannes M. M.; Schäfer, Pascal
IFAC-PapersOnLine, Vol. 51, Issue 20
DOI: 10.1016/j.ifacol.2018.11.028

Optimal operation and control of intensified processes — challenges and opportunities
journal, September 2019

Dias, Lisia S.; Ierapetritou, Marianthi G.
Current Opinion in Chemical Engineering, Vol. 25
DOI: 10.1016/j.coche.2018.12.008

Approximation capabilities of multilayer feedforward networks
journal, January 1991

Hornik, Kurt
Neural Networks, Vol. 4, Issue 2
DOI: 10.1016/0893-6080(91)90009-T

Dynamic modeling and collocation-based model reduction of cryogenic air separation units
journal, January 2016

Cao, Yanan; Swartz, Christopher L. E.; Flores-Cerrillo, Jesus
AIChE Journal, Vol. 62, Issue 5
DOI: 10.1002/aic.15164

Data-Driven Model Reduction and Transfer Operator Approximation
journal, January 2018

Klus, Stefan; Nüske, Feliks; Koltai, Péter
Journal of Nonlinear Science, Vol. 28, Issue 3
DOI: 10.1007/s00332-017-9437-7

Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty
journal, January 2018

Koller, Robert W.; Ricardez‐Sandoval, Luis A.; Biegler, Lorenz T.
AIChE Journal, Vol. 64, Issue 7
DOI: 10.1002/aic.16092

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
journal, June 2003

Belkin, Mikhail; Niyogi, Partha
Neural Computation, Vol. 15, Issue 6
DOI: 10.1162/089976603321780317

Integration of scheduling and control for batch processes using multi-parametric model predictive control
journal, June 2014

Zhuge, Jinjun; Ierapetritou, Marianthi G.
AIChE Journal, Vol. 60, Issue 9
DOI: 10.1002/aic.14509

Data-Driven Optimization of Processes with Degrading Equipment
journal, November 2018

Wiebe, Johannes; Cecílio, Inês; Misener, Ruth
Industrial & Engineering Chemistry Research, Vol. 57, Issue 50
DOI: 10.1021/acs.iecr.8b03292

Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application
journal, April 2016

Pattison, Richard C.; Touretzky, Cara R.; Johansson, Ted
Industrial & Engineering Chemistry Research, Vol. 55, Issue 16
DOI: 10.1021/acs.iecr.5b03499

Dynamic optimization of dissipative PDE systems using nonlinear order reduction
journal, December 2002

Armaou, Antonios; Christofides, Panagiotis D.
Chemical Engineering Science, Vol. 57, Issue 24
DOI: 10.1016/S0009-2509(02)00419-0

Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks
journal, February 2019

Schäfer, Pascal; Caspari, Adrian; Kleinhans, Kerstin
AIChE Journal, Vol. 65, Issue 5
DOI: 10.1002/aic.16568

Integration of Scheduling and Control with Closed Loop Implementation
journal, June 2012

Zhuge, Jinjun; Ierapetritou, Marianthi G.
Industrial & Engineering Chemistry Research, Vol. 51, Issue 25
DOI: 10.1021/ie3002364

Optimization-based assessment of design limitations to air separation plant agility in demand response scenarios
journal, September 2015

Cao, Yanan; Swartz, Christopher L. E.; Baldea, Michael
Journal of Process Control, Vol. 33
DOI: 10.1016/j.jprocont.2015.05.002

Optimal operation: Scheduling, advanced control and their integration
journal, December 2012

Engell, Sebastian; Harjunkoski, Iiro
Computers & Chemical Engineering, Vol. 47
DOI: 10.1016/j.compchemeng.2012.06.039

Data-driven latent-variable model-based predictive control for continuous processes
journal, December 2010

Laurí, D.; Rossiter, J. A.; Sanchis, J.
Journal of Process Control, Vol. 20, Issue 10
DOI: 10.1016/j.jprocont.2010.08.002

Singular perturbation modeling of nonlinear processes with nonexplicit time-scale multiplicity
journal, April 1998

Kumar, Aditya; Christofides, Panagiotis D.; Daoutidis, Prodromos
Chemical Engineering Science, Vol. 53, Issue 8
DOI: 10.1016/S0009-2509(98)00006-2

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR
journal, August 2006

Flores-Tlacuahuac, Antonio; Grossmann, Ignacio E.
Industrial & Engineering Chemistry Research, Vol. 45, Issue 20
DOI: 10.1021/ie051293d

Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers
journal, July 2015

Yu, Mingzhao; Miller, David C.; Biegler, Lorenz T.
Industrial & Engineering Chemistry Research, Vol. 54, Issue 27
DOI: 10.1021/acs.iecr.5b01270

Solution of a Class of Multistage Dynamic Optimization Problems. 2. Problems with Path Constraints
journal, September 1994

Vassiliadis, V. S.; Sargent, R. W. H.; Pantelides, C. C.
Industrial & Engineering Chemistry Research, Vol. 33, Issue 9
DOI: 10.1021/ie00033a015

Solution of a Class of Multistage Dynamic Optimization Problems. 1. Problems without Path Constraints
journal, September 1994

Vassiliadis, V. S.; Sargent, R. W. H.; Pantelides, C. C.
Industrial & Engineering Chemistry Research, Vol. 33, Issue 9
DOI: 10.1021/ie00033a014

A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration
journal, February 2019

Obermeier, Andreas; Windmeier, Christoph; Esche, Erik
Chemical Engineering Science, Vol. 195
DOI: 10.1016/j.ces.2018.10.036

Model-based bidding strategies on the primary balancing market for energy-intense processes
journal, January 2019

Schäfer, Pascal; Westerholt, Hermann Graf; Schweidtmann, Artur M.
Computers & Chemical Engineering, Vol. 120
DOI: 10.1016/j.compchemeng.2018.09.026

Balanced Model Reduction via the Proper Orthogonal Decomposition
journal, November 2002

Willcox, K.; Peraire, J.
AIAA Journal, Vol. 40, Issue 11
DOI: 10.2514/2.1570

Similar Records in DOE PAGES and OSTI.GOV collections:

Integrating production scheduling and process control using latent variable dynamic models

Journal Article Tsay, Calvin ; Baldea, Michael - Control Engineering Practice

Not provided.
https://doi.org/10.1016/j.conengprac.2019.104201
An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations

Journal Article Kelley, Morgan T. ; Pattison, Richard C. ; Baldick, Ross ; ... - Computers and Chemical Engineering

The emphasis currently placed on enterprise-wide decision making and optimization has led to an increased need for methods of integrating nonlinear process dynamics and control information in scheduling calculations. The inevitable high dimensionality and nonlinearity of first-principles dynamic process models makes incorporating them in scheduling calculations challenging. In this work, we describe a general framework for deriving data-driven surrogate models of the closed-loop process dynamics. Focusing on Hammerstein–Wiener and finite step response (FSR) model forms, we show that these models can be (exactly) linearized and embedded in production scheduling calculations. The resulting scheduling problems are mixed-integer linear programs with amore »« less
Cited by 35
https://doi.org/10.1016/j.compchemeng.2017.11.021

Full Text Available
A closed-loop integration of scheduling and control for hydraulic fracturing using offset-free model predictive control

Journal Article Cao, Kaiyu ; Son, Sang Hwan ; Moon, Jiyoung ; ... - Applied Energy
https://doi.org/10.1016/j.apenergy.2021.117487
Latent variable Gaussian process models: A rank‐based analysis and an alternative approach

Journal Article Tao, Siyu ; Apley, Daniel W. ; Plumlee, Matthew ; ... - International Journal for Numerical Methods in Engineering

Abstract Gaussian process (GP) models have been extended to emulate expensive computer simulations with both qualitative/categorical and quantitative/continuous variables. Latent variable (LV) GP models, which have been recently developed to map each qualitative variable to some underlying numerical LVs, have strong physics‐based justification and have achieved promising performance. Two versions use LVs in Cartesian (LV‐Car) space and hyperspherical (LV‐sph) space, respectively. Despite their success, the effects of these different LV structures are still poorly understood. This article illuminates this issue with two contributions. First, we develop a theorem on the effect of the ranks of the qualitative factor correlation matricesmore »« less
https://doi.org/10.1002/nme.6690
Multifidelity Model Management using Latent Variable Bayesian Networks.

Conference Gorodetsky, Alex ; Geraci, Gianluca ; Eldred, Michael S. ; ...

Abstract not provided.
Full Text Available

Similar Records

Title: Integrating production scheduling and process control using latent variable dynamic models

Citation Formats

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes journal, December 2017

A Stable and Robust NMPC Strategy with Reduced Models and Nonuniform Grids journal, January 2016

A Global Geometric Framework for Nonlinear Dimensionality Reduction journal, December 2000

Nonlinear principal component analysis using autoassociative neural networks journal, February 1991

Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets journal, February 2015

An overview of simultaneous strategies for dynamic optimization journal, November 2007

A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units journal, May 2018

Latent variable MPC for trajectory tracking in batch processes journal, September 2005

Diffusion maps journal, July 2006

An MILP framework for optimizing demand response operation of air separation units journal, July 2018

Optimal unsupervised learning in a single-layer linear feedforward neural network journal, January 1989

LIII. On lines and planes of closest fit to systems of points in space journal, November 1901

Integrated scheduling and control in discrete-time with dynamic parameters and constraints journal, July 2018

Integrating operations and control: A perspective and roadmap for future research journal, July 2018

A multi-scale optimization framework for electricity market participation journal, March 2017

Production scheduling and linear MPC: Complete integration via complementarity conditions journal, June 2019

Production campaign planning including grade transition sequencing and dynamic optimization journal, September 2005

A discrete-time scheduling model for continuous power-intensive process networks with various power contracts journal, January 2016

Data-based latent variable methods for process analysis, monitoring and control journal, May 2005

A survey of industrial model predictive control technology journal, July 2003

Nonlinear Dimensionality Reduction by Locally Linear Embedding journal, December 2000

Reducing the Dimensionality of Data with Neural Networks journal, July 2006

Grid-level “battery” operation of chemical processes and demand-side participation in short-term electricity markets journal, June 2018

Novel Formulation for Optimal Schedule with Demand Side Management in Multiproduct Air Separation Processes journal, January 2019

Simultaneous Process Scheduling and Control: A Multiparametric Programming-Based Approach journal, February 2018

Discrete Time Formulation for the Integration of Scheduling and Dynamic Optimization journal, October 2014

Optimal scheduling of multiple sets of air separation units with frequent load-change operation journal, January 2017

Integrated production scheduling and process control: A systematic review journal, December 2014

A time scale-bridging approach for integrating production scheduling and process control journal, August 2015

Perspectives in multiparametric programming and explicit model predictive control journal, August 2009

Moving horizon closed-loop production scheduling using dynamic process models journal, July 2016

Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models journal, July 2019

Integrated production scheduling and model predictive control of continuous processes journal, August 2015

An improved method for nonlinear model reduction using balancing of empirical gramians journal, October 2002

Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units journal, January 2018

Optimal operation and control of intensified processes — challenges and opportunities journal, September 2019

Approximation capabilities of multilayer feedforward networks journal, January 1991

Dynamic modeling and collocation-based model reduction of cryogenic air separation units journal, January 2016

Data-Driven Model Reduction and Transfer Operator Approximation journal, January 2018

Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty journal, January 2018

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation journal, June 2003

Integration of scheduling and control for batch processes using multi-parametric model predictive control journal, June 2014

Data-Driven Optimization of Processes with Degrading Equipment journal, November 2018

Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application journal, April 2016

Dynamic optimization of dissipative PDE systems using nonlinear order reduction journal, December 2002

Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks journal, February 2019

Integration of Scheduling and Control with Closed Loop Implementation journal, June 2012

Optimization-based assessment of design limitations to air separation plant agility in demand response scenarios journal, September 2015

Optimal operation: Scheduling, advanced control and their integration journal, December 2012

Data-driven latent-variable model-based predictive control for continuous processes journal, December 2010

Singular perturbation modeling of nonlinear processes with nonexplicit time-scale multiplicity journal, April 1998

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR journal, August 2006

Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers journal, July 2015

Solution of a Class of Multistage Dynamic Optimization Problems. 2. Problems with Path Constraints journal, September 1994

Solution of a Class of Multistage Dynamic Optimization Problems. 1. Problems without Path Constraints journal, September 1994

A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration journal, February 2019

Model-based bidding strategies on the primary balancing market for energy-intense processes journal, January 2019

Balanced Model Reduction via the Proper Orthogonal Decomposition journal, November 2002

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes
journal, December 2017

A Stable and Robust NMPC Strategy with Reduced Models and Nonuniform Grids
journal, January 2016

A Global Geometric Framework for Nonlinear Dimensionality Reduction
journal, December 2000

Nonlinear principal component analysis using autoassociative neural networks
journal, February 1991

Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets
journal, February 2015

An overview of simultaneous strategies for dynamic optimization
journal, November 2007

A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units
journal, May 2018

Latent variable MPC for trajectory tracking in batch processes
journal, September 2005

Diffusion maps
journal, July 2006

An MILP framework for optimizing demand response operation of air separation units
journal, July 2018

Optimal unsupervised learning in a single-layer linear feedforward neural network
journal, January 1989

LIII. On lines and planes of closest fit to systems of points in space
journal, November 1901

Integrated scheduling and control in discrete-time with dynamic parameters and constraints
journal, July 2018

Integrating operations and control: A perspective and roadmap for future research
journal, July 2018

A multi-scale optimization framework for electricity market participation
journal, March 2017

Production scheduling and linear MPC: Complete integration via complementarity conditions
journal, June 2019

Production campaign planning including grade transition sequencing and dynamic optimization
journal, September 2005

A discrete-time scheduling model for continuous power-intensive process networks with various power contracts
journal, January 2016

Data-based latent variable methods for process analysis, monitoring and control
journal, May 2005

A survey of industrial model predictive control technology
journal, July 2003

Nonlinear Dimensionality Reduction by Locally Linear Embedding
journal, December 2000

Reducing the Dimensionality of Data with Neural Networks
journal, July 2006

Grid-level “battery” operation of chemical processes and demand-side participation in short-term electricity markets
journal, June 2018

Novel Formulation for Optimal Schedule with Demand Side Management in Multiproduct Air Separation Processes
journal, January 2019

Simultaneous Process Scheduling and Control: A Multiparametric Programming-Based Approach
journal, February 2018

Discrete Time Formulation for the Integration of Scheduling and Dynamic Optimization
journal, October 2014

Optimal scheduling of multiple sets of air separation units with frequent load-change operation
journal, January 2017

Integrated production scheduling and process control: A systematic review
journal, December 2014

A time scale-bridging approach for integrating production scheduling and process control
journal, August 2015

Perspectives in multiparametric programming and explicit model predictive control
journal, August 2009

Moving horizon closed-loop production scheduling using dynamic process models
journal, July 2016

Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
journal, July 2019

Integrated production scheduling and model predictive control of continuous processes
journal, August 2015

An improved method for nonlinear model reduction using balancing of empirical gramians
journal, October 2002

Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units
journal, January 2018

Optimal operation and control of intensified processes — challenges and opportunities
journal, September 2019

Approximation capabilities of multilayer feedforward networks
journal, January 1991

Dynamic modeling and collocation-based model reduction of cryogenic air separation units
journal, January 2016

Data-Driven Model Reduction and Transfer Operator Approximation
journal, January 2018

Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty
journal, January 2018

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
journal, June 2003

Integration of scheduling and control for batch processes using multi-parametric model predictive control
journal, June 2014

Data-Driven Optimization of Processes with Degrading Equipment
journal, November 2018

Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application
journal, April 2016

Dynamic optimization of dissipative PDE systems using nonlinear order reduction
journal, December 2002

Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks
journal, February 2019

Integration of Scheduling and Control with Closed Loop Implementation
journal, June 2012

Optimization-based assessment of design limitations to air separation plant agility in demand response scenarios
journal, September 2015

Optimal operation: Scheduling, advanced control and their integration
journal, December 2012

Data-driven latent-variable model-based predictive control for continuous processes
journal, December 2010

Singular perturbation modeling of nonlinear processes with nonexplicit time-scale multiplicity
journal, April 1998

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR
journal, August 2006

Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers
journal, July 2015

Solution of a Class of Multistage Dynamic Optimization Problems. 2. Problems with Path Constraints
journal, September 1994

Solution of a Class of Multistage Dynamic Optimization Problems. 1. Problems without Path Constraints
journal, September 1994

A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration
journal, February 2019

Model-based bidding strategies on the primary balancing market for energy-intense processes
journal, January 2019

Balanced Model Reduction via the Proper Orthogonal Decomposition
journal, November 2002