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Koopman Lyapunov‐based model predictive control of nonlinear chemical process systems

AIChE journal, 2019-11, Vol.65 (11), p.n/a

2019

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Operable adaptive sparse identification of systems: Application to chemical processes

AIChE journal, 2020-11, Vol.66 (11), p.n/a

2020

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Temporal clustering for order reduction of nonlinear parabolic PDE systems with time‐dependent spatial domains: Application to a hydraulic fracturing process

AIChE journal, 2017-09, Vol.63 (9), p.3818-3831

2017

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Deep hybrid model‐based predictive control with guarantees on domain of applicability

AIChE journal, 2023-05, Vol.69 (5), p.n/a

2023

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Machine learning meets process control: Unveiling the potential of LSTMc

AIChE journal, 2024-07, Vol.70 (7), p.n/a

2024

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Multiscale modeling and control of Kappa number and porosity in a batch‐type pulp digester

AIChE journal, 2019-06, Vol.65 (6), p.n/a

2019

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Application of offset‐free Koopman‐based model predictive control to a batch pulp digester

AIChE journal, 2021-09, Vol.67 (9), p.n/a

2021

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Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations

AIChE journal, 2018-05, Vol.64 (5), p.1638-1650

2018

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Multiscale modeling and run-to-run control of PECVD of thin film solar cells

Renewable energy, 2017-01, Vol.100, p.129-140

2017

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Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process

AIChE journal, 2023-02, Vol.69 (2), p.n/a

2023

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Optimization of simultaneously propagating multiple fractures in hydraulic fracturing to achieve uniform growth using data-based model reduction

Chemical engineering research & design, 2018-08, Vol.136, p.675-686

2018

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An integrated numerical and experimental framework for modeling of CTB and GD1b ganglioside binding kinetics

AIChE journal, 2018-11, Vol.64 (11), p.3882-3893

2018

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Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions

Computers & chemical engineering, 2018-04, Vol.112, p.112-120

2018

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Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)

Computers & chemical engineering, 2021-09, Vol.152, p.107378, Article 107378

2021

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Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing

Computers & chemical engineering, 2017-11, Vol.106, p.501-511

2017

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Modeling and control of protein crystal shape and size in batch crystallization

AIChE journal, 2013-07, Vol.59 (7), p.2317-2327

2013

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A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization

Chemical engineering science, 2015-05, Vol.127, p.210-219

2015

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Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs

Computers & chemical engineering, 2018-06, Vol.114, p.306-317

2018

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Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation

Journal of process control, 2020-07, Vol.91 (C), p.25-36

2020

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Hetero-Multivalency of Pseudomonas aeruginosa Lectin LecA Binding to Model Membranes

Scientific reports, 2018-05, Vol.8 (1), p.8419-11, Article 8419

2018

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Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control

International journal of control, 2023-03, Vol.96 (3), p.770-781

2023

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A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry

Journal of process control, 2022-02, Vol.110, p.84-98

2022

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Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs

Chemical engineering research & design, 2024-04, Vol.204, p.292-302

2024

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Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing

Computers & chemical engineering, 2017-06, Vol.101, p.138-147

2017

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Modeling and control of cell wall thickness in batch delignification

Computers & chemical engineering, 2019-09, Vol.128, p.512-523

2019

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Koopman Lyapunov‐based model predictive control of nonlinear chemical process systems

Operable adaptive sparse identification of systems: Application to chemical processes

Temporal clustering for order reduction of nonlinear parabolic PDE systems with time‐dependent spatial domains: Application to a hydraulic fracturing process

Deep hybrid model‐based predictive control with guarantees on domain of applicability

Machine learning meets process control: Unveiling the potential of LSTMc

Multiscale modeling and control of Kappa number and porosity in a batch‐type pulp digester

Application of offset‐free Koopman‐based model predictive control to a batch pulp digester

Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations

Multiscale modeling and run-to-run control of PECVD of thin film solar cells

Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process

Optimization of simultaneously propagating multiple fractures in hydraulic fracturing to achieve uniform growth using data-based model reduction

An integrated numerical and experimental framework for modeling of CTB and GD1b ganglioside binding kinetics

Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions

Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)

Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing

Modeling and control of protein crystal shape and size in batch crystallization

A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization

Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs

Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation

Hetero-Multivalency of Pseudomonas aeruginosa Lectin LecA Binding to Model Membranes

Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control

A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry

Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs

Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing

Modeling and control of cell wall thickness in batch delignification

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