Found: 109
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Integrating dynamic economic optimization and encrypted control for cyber‐resilient operation of nonlinear processes.
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- AIChE Journal, 2024, v. 70, n. 9, p. 1, doi. 10.1002/aic.18509
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Process modeling guides operational variables that affect CO<sub>2</sub> utilization during the accelerated carbonation of concrete.
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- AIChE Journal, 2024, v. 70, n. 5, p. 1, doi. 10.1002/aic.18387
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- Article
Integrating run-to-run control with feedback control for a spatial atomic layer etching reactor.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2024, v. 203, p. 1, doi. 10.1016/j.cherd.2024.01.030
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Sparse identification modeling and predictive control of wafer temperature in an atomic layer etching reactor.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2024, v. 202, p. 1, doi. 10.1016/j.cherd.2023.12.024
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Machine Learning Modeling and Run-to-Run Control of an Area-Selective Atomic Layer Deposition Spatial Reactor.
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- Coatings (2079-6412), 2024, v. 14, n. 1, p. 38, doi. 10.3390/coatings14010038
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Encrypted decentralized model predictive control of nonlinear processes with delays.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 200, p. 312, doi. 10.1016/j.cherd.2023.10.041
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Machine Learning-Based Model Predictive Control of Two-Time-Scale Systems.
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- Mathematics (2227-7390), 2023, v. 11, n. 18, p. 3827, doi. 10.3390/math11183827
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Machine learning-based predictive control using on-line model linearization: Application to an experimental electrochemical reactor.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 197, p. 721, doi. 10.1016/j.cherd.2023.08.017
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Encrypted model predictive control design for security to cyberattacks.
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- AIChE Journal, 2023, v. 69, n. 8, p. 1, doi. 10.1002/aic.18104
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Real-time adaptive sparse-identification-based predictive control of nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 196, p. 750, doi. 10.1016/j.cherd.2023.07.011
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- Article
Encrypted Model Predictive Control of a Nonlinear Chemical Process Network.
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- Processes, 2023, v. 11, n. 8, p. 2501, doi. 10.3390/pr11082501
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- Article
Machine learning-based ethylene and carbon monoxide estimation, real-time optimization, and multivariable feedback control of an experimental electrochemical reactor.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 191, p. 658, doi. 10.1016/j.cherd.2023.02.003
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- Article
Multiscale CFD Modeling of Area-Selective Atomic Layer Deposition: Application to Reactor Design and Operating Condition Calculation.
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- Coatings (2079-6412), 2023, v. 13, n. 3, p. 558, doi. 10.3390/coatings13030558
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On generalization error of neural network models and its application to predictive control of nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 189, p. 664, doi. 10.1016/j.cherd.2022.12.001
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- Article
Atomistic-mesoscopic modeling of area-selective thermal atomic layer deposition.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 188, p. 271, doi. 10.1016/j.cherd.2022.09.051
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Physics-informed machine learning modeling for predictive control using noisy data.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 186, p. 34, doi. 10.1016/j.cherd.2022.07.035
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- Article
Machine learning-based ethylene concentration estimation, real-time optimization and feedback control of an experimental electrochemical reactor.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 185, p. 87, doi. 10.1016/j.cherd.2022.06.044
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Machine‐learning‐based construction of barrier functions and models for safe model predictive control.
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- AIChE Journal, 2022, v. 68, n. 6, p. 1, doi. 10.1002/aic.17456
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- Article
Multivariable run-to-run control of thermal atomic layer etching of aluminum oxide thin films.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 182, p. 1, doi. 10.1016/j.cherd.2022.03.039
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Statistical machine‐learning–based predictive control of uncertain nonlinear processes.
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- AIChE Journal, 2022, v. 68, n. 5, p. 1, doi. 10.1002/aic.17642
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Process structure-based recurrent neural network modeling for predictive control: A comparative study.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 179, p. 77, doi. 10.1016/j.cherd.2021.12.046
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Microscopic and data-driven modeling and operation of thermal atomic layer etching of aluminum oxide thin films.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 177, p. 96, doi. 10.1016/j.cherd.2021.10.016
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Machine learning-based model predictive control of diffusion-reaction processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 173, p. 129, doi. 10.1016/j.cherd.2021.07.005
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Statistical Machine Learning in Model Predictive Control of Nonlinear Processes.
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- Mathematics (2227-7390), 2021, v. 9, n. 16, p. 1912, doi. 10.3390/math9161912
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Finite element modeling of direct metal laser solidification process: Sensor data replication and use in defect detection and data reduction via machine learning.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 171, p. 254, doi. 10.1016/j.cherd.2021.05.018
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Machine learning modeling and predictive control of nonlinear processes using noisy data.
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- AIChE Journal, 2021, v. 67, n. 4, p. 1, doi. 10.1002/aic.17164
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Machine-learning-based state estimation and predictive control of nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 167, p. 268, doi. 10.1016/j.cherd.2021.01.009
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- Article
Data-based reduced-order modeling of nonlinear two-time-scale processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 166, p. 1, doi. 10.1016/j.cherd.2020.11.009
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Robust detection of intermittent multiplicative sensor fault.
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- Asian Journal of Control, 2021, v. 23, n. 1, p. 463, doi. 10.1002/asjc.2241
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Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 165, p. 25, doi. 10.1016/j.cherd.2020.10.014
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Machine learning‐based distributed model predictive control of nonlinear processes.
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- AIChE Journal, 2020, v. 66, n. 11, p. 1, doi. 10.1002/aic.17013
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Decentralized machine-learning-based predictive control of nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2020, v. 162, p. 45, doi. 10.1016/j.cherd.2020.07.019
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Post cyber-attack state reconstruction for nonlinear processes using machine learning.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2020, v. 159, p. 248, doi. 10.1016/j.cherd.2020.04.018
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Microscopic modeling and optimal operation of plasma enhanced atomic layer deposition.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2020, v. 159, p. 439, doi. 10.1016/j.cherd.2020.05.014
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A cyber‐secure control‐detector architecture for nonlinear processes.
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- AIChE Journal, 2020, v. 66, n. 5, p. 1, doi. 10.1002/aic.16907
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- Article
Real-time machine learning for operational safety of nonlinear processes via barrier-function based predictive control.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2020, v. 155, p. 88, doi. 10.1016/j.cherd.2020.01.007
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- Article
Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films.
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- Processes, 2020, v. 8, n. 1, p. 18, doi. 10.3390/pr8010018
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Optimizing process economics and operational safety via economic MPC using barrier functions and recurrent neural network models.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 152, p. 455, doi. 10.1016/j.cherd.2019.10.010
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Machine learning‐based predictive control of nonlinear processes. Part I: Theory.
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- AIChE Journal, 2019, v. 65, n. 11, p. N.PAG, doi. 10.1002/aic.16729
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Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation.
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- AIChE Journal, 2019, v. 65, n. 11, p. N.PAG, doi. 10.1002/aic.16734
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Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 151, p. 131, doi. 10.1016/j.cherd.2019.09.005
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- Article
Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning.
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- Mathematics (2227-7390), 2019, v. 7, n. 10, p. 890, doi. 10.3390/math7100890
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Operational safety via model predictive control: The Torrance refinery accident revisited.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 149, p. 138, doi. 10.1016/j.cherd.2019.07.002
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- Article
Run‐to‐run control of PECVD systems: Application to a multiscale three‐dimensional CFD model of silicon thin film deposition.
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- AIChE Journal, 2019, v. 65, n. 7, p. N.PAG, doi. 10.1002/aic.16400
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- Article
Multiscale computational fluid dynamics modeling of thermal atomic layer deposition with application to chamber design.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 147, p. 529, doi. 10.1016/j.cherd.2019.05.049
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- Article
Operational safety of an ammonia process network via model predictive control.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 146, p. 277, doi. 10.1016/j.cherd.2019.04.004
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- Article
Economic Machine-Learning-Based Predictive Control of Nonlinear Systems.
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- Mathematics (2227-7390), 2019, v. 7, n. 6, p. 494, doi. 10.3390/math7060494
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Microscopic modeling and optimal operation of thermal atomic layer deposition.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 145, p. 159, doi. 10.1016/j.cherd.2019.03.004
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- Publication type:
- Article
Model predictive control of phthalic anhydride synthesis in a fixed-bed catalytic reactor via machine learning modeling.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 145, p. 173, doi. 10.1016/j.cherd.2019.02.016
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Handling bounded and unbounded unsafe sets in Control Lyapunov-Barrier function-based model predictive control of nonlinear processes.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 143, p. 140, doi. 10.1016/j.cherd.2019.01.002
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- Article