D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

Ma, Jinliang; Mahapatra, Priyadarshi; Zitney, Stephen E.; Biegler, Lorenz T.; Miller, David C.

doi:10.1016/j.compchemeng.2016.07.021

Title: D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

Journal Article · Tue Nov 01 00:00:00 EDT 2016 · Computers and Chemical Engineering

DOI:https://doi.org/10.1016/j.compchemeng.2016.07.021· OSTI ID:1366434

Ma, Jinliang; Mahapatra, Priyadarshi; Zitney, Stephen E.; Biegler, Lorenz T.; Miller, David C.

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Research Organization:: National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States). In-house Research

Sponsoring Organization:: USDOE

DOE Contract Number:: DE-FE0004000

OSTI ID:: 1366434

Report Number(s):: CONTR-PUB-184; PII: S0098135416302411

Journal Information:: Computers and Chemical Engineering, Vol. 94, Issue C; ISSN 0098-1354

Country of Publication:: United States

Language:: English

References (15)

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Learning surrogate models for simulation-based optimization Cozad, Alison; Sahinidis, Nikolaos V.; Miller, David C. AIChE Journal, Vol. 60, Issue 6 https://doi.org/10.1002/aic.14418	journal	March 2014
A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems Eslick, John C.; Ng, Brenda; Gao, Qianwen Energy Procedia, Vol. 63 https://doi.org/10.1016/j.egypro.2014.11.113	journal	January 2014
Integrated Dynamic Modeling and Advanced Process Control of Carbon Capture Systems Mahapatra, Priyadarshi; Ma, Jinliang; Ng, Brenda Energy Procedia, Vol. 63 https://doi.org/10.1016/j.egypro.2014.11.145	journal	January 2014
Carbon Capture Simulation Initiative: A Case Study in Multiscale Modeling and New Challenges Miller, David C.; Syamlal, Madhava; Mebane, David S. Annual Review of Chemical and Biomolecular Engineering, Vol. 5, Issue 1 https://doi.org/10.1146/annurev-chembioeng-060713-040321	journal	June 2014
Modeling of Nonlinear Physiological Systems with Fast and Slow Dynamics. I. Methodology Mitsis, G. D.; Marmarelis, V. Z. Annals of Biomedical Engineering, Vol. 30, Issue 2 https://doi.org/10.1114/1.1458591	journal	February 2002
Dynamic Modeling and Control Studies of a Two-Stage Bubbling Fluidized Bed Adsorber-Reactor for Solid–Sorbent CO ₂ Capture Modekurti, Srinivasarao; Bhattacharyya, Debangsu; Zitney, Stephen E. Industrial & Engineering Chemistry Research, Vol. 52, Issue 30 https://doi.org/10.1021/ie400852k	journal	July 2013
A Simplex Method for Function Minimization Nelder, J. A.; Mead, R. The Computer Journal, Vol. 7, Issue 4 https://doi.org/10.1093/comjnl/7.4.308	journal	January 1965
Adaptive control using neural networks and approximate models Narendra, K. S.; Mukhopadhyay, S. IEEE Transactions on Neural Networks, Vol. 8, Issue 3 https://doi.org/10.1109/72.572089	journal	May 1997
State-space nonlinear process modeling: Identification and universality Sentoni, Guillermo B.; Biegler, Lorenz T.; Guiver, John B. AIChE Journal, Vol. 44, Issue 10 https://doi.org/10.1002/aic.690441011	journal	October 1998
Nonlinear black-box modeling in system identification: a unified overview Sjöberg, Jonas; Zhang, Qinghua; Ljung, Lennart Automatica, Vol. 31, Issue 12 https://doi.org/10.1016/0005-1098(95)00120-8	journal	December 1995
Locally recurrent globally feedforward networks: a critical review of architectures IEEE Transactions on Neural Networks, Vol. 5, Issue 2 https://doi.org/10.1109/72.279187	journal	March 1994
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming Wächter, Andreas; Biegler, Lorenz T. Mathematical Programming, Vol. 106, Issue 1 https://doi.org/10.1007/s10107-004-0559-y	journal	April 2005
Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers Yu, Mingzhao; Miller, David C.; Biegler, Lorenz T. Industrial & Engineering Chemistry Research, Vol. 54, Issue 27 https://doi.org/10.1021/acs.iecr.5b01270	journal	July 2015
On PID controller tuning using orthonormal series identification Zervos, C.; Bélanger, P. R.; Dumont, G. A. Automatica, Vol. 24, Issue 2 https://doi.org/10.1016/0005-1098(88)90025-8	journal	March 1988

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Adaptive Model Predictive Control for Wiener Nonlinear Systems Aliskan, Ibrahim Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol. 43, Issue S1 https://doi.org/10.1007/s40998-018-0159-0	journal	November 2018

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