Real-time adaptive sparse-identification-based predictive control of nonlinear processes

Abdullah, Fahim; Christofides, Panagiotis D.

doi:10.1016/j.cherd.2023.07.011

Title: Real-time adaptive sparse-identification-based predictive control of nonlinear processes

Journal Article · 31 July 2023 · Chemical Engineering Research and Design

DOI: https://doi.org/10.1016/j.cherd.2023.07.011 · OSTI ID:1999854

; Christofides, Panagiotis D.

Not Available

View Accepted Manuscript (Publisher)

Cite

Export

Save

Sponsoring Organization:: USDOE

OSTI ID:: 1999854

Journal Information:: Chemical Engineering Research and Design, Journal Name: Chemical Engineering Research and Design Journal Issue: C Vol. 196; ISSN 0263-8762

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (37)

Economic model predictive control of nonlinear process systems using Lyapunov techniques Heidarinejad, Mohsen; Liu, Jinfeng; Christofides, Panagiotis D. AIChE Journal, Vol. 58, Issue 3 https://doi.org/10.1002/aic.12672	journal	May 2011
Error-triggered on-line model identification for model-based feedback control Alanqar, Anas; Durand, Helen; Christofides, Panagiotis D. AIChE Journal, Vol. 63, Issue 3 https://doi.org/10.1002/aic.15430	journal	August 2016
Operable adaptive sparse identification of systems: Application to chemical processes Bhadriraju, Bhavana; Bangi, Mohammed Saad Faizan; Narasingam, Abhinav AIChE Journal, Vol. 66, Issue 11 https://doi.org/10.1002/aic.16980	journal	September 2020
Periodic operation of chemical reactors — a review of the experimental literature Silveston, Peter Lewis Sadhana, Vol. 10, Issue 1-2 https://doi.org/10.1007/BF02816206	journal	April 1987
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
Model predictive control: Theory and practice—A survey García, Carlos E.; Prett, David M.; Morari, Manfred Automatica, Vol. 25, Issue 3 https://doi.org/10.1016/0005-1098(89)90002-2	journal	May 1989
A universal formula for stabilization with bounded controls Lin, Yuandan; Sontag, Eduardo D. Systems & Control Letters, Vol. 16, Issue 6 https://doi.org/10.1016/0167-6911(91)90111-Q	journal	June 1991
Economic optimization using model predictive control with a terminal cost Amrit, Rishi; Rawlings, James B.; Angeli, David Annual Reviews in Control, Vol. 35, Issue 2 https://doi.org/10.1016/j.arcontrol.2011.10.011	journal	December 2011
Model predictive control: Recent developments and future promise Mayne, David Q. Automatica, Vol. 50, Issue 12 https://doi.org/10.1016/j.automatica.2014.10.128	journal	December 2014
Machine learning-based adaptive model identification of systems: Application to a chemical process Bhadriraju, Bhavana; Narasingam, Abhinav; Kwon, Joseph Sang-Il Chemical Engineering Research and Design, Vol. 152 https://doi.org/10.1016/j.cherd.2019.09.009	journal	December 2019
Data-based reduced-order modeling of nonlinear two-time-scale processes Abdullah, Fahim; Wu, Zhe; Christofides, Panagiotis D. Chemical Engineering Research and Design, Vol. 166 https://doi.org/10.1016/j.cherd.2020.11.009	journal	February 2021
Data-driven identification of interpretable reduced-order models using sparse regression Narasingam, Abhinav; Sang-Il Kwon, Joseph Computers & Chemical Engineering, Vol. 119 https://doi.org/10.1016/j.compchemeng.2018.08.010	journal	November 2018
Sparse-identification-based model predictive control of nonlinear two-time-scale processes Abdullah, Fahim; Wu, Zhe; Christofides, Panagiotis D. Computers & Chemical Engineering, Vol. 153 https://doi.org/10.1016/j.compchemeng.2021.107411	journal	October 2021
Handling noisy data in sparse model identification using subsampling and co-teaching Abdullah, Fahim; Wu, Zhe; Christofides, Panagiotis D. Computers & Chemical Engineering, Vol. 157 https://doi.org/10.1016/j.compchemeng.2021.107628	journal	January 2022
Data-based modeling and control of nonlinear process systems using sparse identification: An overview of recent results Abdullah, Fahim; Christofides, Panagiotis D. Computers & Chemical Engineering, Vol. 174 https://doi.org/10.1016/j.compchemeng.2023.108247	journal	June 2023
A modified particle swarm optimization-based dynamic recurrent neural network for identifying and controlling nonlinear systems Ge, Hong-Wei; Liang, Yan-Chun; Marchese, Maurizio Computers & Structures, Vol. 85, Issue 21-22 https://doi.org/10.1016/j.compstruc.2007.03.001	journal	November 2007
Lyapunov stability of economically oriented NMPC for cyclic processes Huang, Rui; Harinath, Eranda; Biegler, Lorenz T. Journal of Process Control, Vol. 21, Issue 4 https://doi.org/10.1016/j.jprocont.2011.01.012	journal	April 2011
A tutorial review of economic model predictive control methods Ellis, Matthew; Durand, Helen; Christofides, Panagiotis D. Journal of Process Control, Vol. 24, Issue 8 https://doi.org/10.1016/j.jprocont.2014.03.010	journal	August 2014
Modeling and Control of Nonlinear Processes Using Sparse Identification: Using Dropout to Handle Noisy Data Abdullah, Fahim; Alhajeri, Mohammed S.; Christofides, Panagiotis D. Industrial & Engineering Chemistry Research, Vol. 61, Issue 49 https://doi.org/10.1021/acs.iecr.2c02639	journal	November 2022
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes Wu, Zhe; Rincon, David; Christofides, Panagiotis D. Industrial & Engineering Chemistry Research, Vol. 59, Issue 6 https://doi.org/10.1021/acs.iecr.9b03055	journal	July 2019
Reactive SINDy: Discovering governing reactions from concentration data Hoffmann, Moritz; Fröhner, Christoph; Noé, Frank The Journal of Chemical Physics, Vol. 150, Issue 2 https://doi.org/10.1063/1.5066099	journal	January 2019
Sparse dynamics for partial differential equations Schaeffer, H.; Caflisch, R.; Hauck, C. D. Proceedings of the National Academy of Sciences, Vol. 110, Issue 17 https://doi.org/10.1073/pnas.1302752110	journal	March 2013
Compressed modes for variational problems in mathematics and physics Ozolins, V.; Lai, R.; Caflisch, R. Proceedings of the National Academy of Sciences, Vol. 110, Issue 46 https://doi.org/10.1073/pnas.1318679110	journal	October 2013
Periodic Operation of Chemical Reactors: a Review Bailey, J. E. Chemical Engineering Communications, Vol. 1, Issue 3 https://doi.org/10.1080/00986447408960421	journal	January 1974
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit Kaiser, E.; Kutz, J. N.; Brunton, S. L. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 474, Issue 2219 https://doi.org/10.1098/rspa.2018.0335	journal	November 2018
Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing Wang, Wen-Xu; Yang, Rui; Lai, Ying-Cheng Physical Review Letters, Vol. 106, Issue 15 https://doi.org/10.1103/PhysRevLett.106.154101	journal	April 2011
Data-driven Symbolic Regression for Identification of Nonlinear Dynamics in Power Systems Stankovic, Alex M.; Saric, Aleksandar A.; Saric, Andrija T. 2020 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM41954.2020.9281935	conference	August 2020
Adaptive Neural Control of Uncertain MIMO Nonlinear Systems Ge, S. S.; Wang, C. IEEE Transactions on Neural Networks, Vol. 15, Issue 3 https://doi.org/10.1109/TNN.2004.826130	journal	May 2004
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes Huang, Keke; Tao, Zui; Liu, Yishun IEEE Transactions on Neural Networks and Learning Systems https://doi.org/10.1109/TNNLS.2023.3262541	journal	January 2023
Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems Brunton, Steven L.; Tu, Jonathan H.; Bright, Ido SIAM Journal on Applied Dynamical Systems, Vol. 13, Issue 4 https://doi.org/10.1137/130949282	journal	January 2014
On the Compressive Spectral Method Mackey, Alan; Schaeffer, Hayden; Osher, Stanley Multiscale Modeling & Simulation, Vol. 12, Issue 4 https://doi.org/10.1137/140965909	journal	January 2014
A Smooth Converse Lyapunov Theorem for Robust Stability Lin, Yuandan; Sontag, Eduardo D.; Wang, Yuan SIAM Journal on Control and Optimization, Vol. 34, Issue 1 https://doi.org/10.1137/S0363012993259981	journal	January 1996
Exploiting sparsity and equation-free architectures in complex systems Proctor, J. L.; Brunton, S. L.; Brunton, B. W. The European Physical Journal Special Topics, Vol. 223, Issue 13 https://doi.org/10.1140/epjst/e2014-02285-8	journal	December 2014
Contributions to Stability Theory Massera, Jose L. The Annals of Mathematics, Vol. 64, Issue 1 https://doi.org/10.2307/1969955	journal	July 1956
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics Wang, Jingyi; Moreira, Jesus; Cao, Yankai 2022 American Control Conference (ACC) https://doi.org/10.23919/ACC53348.2022.9867786	conference	June 2022
Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing Bai, Zhe; Wimalajeewa, Thakshila; Berger, Zachary AIAA Journal, Vol. 53, Issue 4 https://doi.org/10.2514/1.J053287	journal	April 2015
Economic Machine-Learning-Based Predictive Control of Nonlinear Systems Wu, Zhe; Christofides, Panagiotis Mathematics, Vol. 7, Issue 6 https://doi.org/10.3390/math7060494	journal	June 2019

Similar Records

Sparse-identification-based model predictive control of nonlinear two-time-scale processes

Journal Article · 2021 · Computers and Chemical Engineering · OSTI ID:1868757

Abdullah, Fahim; Wu, Zhe; Christofides, Panagiotis D.

Real-time machine learning for operational safety of nonlinear processes via barrier-function based predictive control

Journal Article · 2020 · Chemical Engineering Research and Design · OSTI ID:1702184

Wu, Zhe; Rincon, David; Christofides, Panagiotis D.

Advances in sensitivity-based nonlinear model predictive control and dynamic real-time optimization

Journal Article · 2015 · Journal of Process Control · OSTI ID:1250375

Biegler, L. T.; Yang, X.; Fischer, G. A. G.

Title: Real-time adaptive sparse-identification-based predictive control of nonlinear processes

Citation Formats

References (37)

Similar Records

Related Subjects