Joseph Sang-Il Kwon
Orcid: 0000-0002-7903-5681
According to our database1,
Joseph Sang-Il Kwon
authored at least 55 papers
between 2013 and 2023.
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Bibliography
2023
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers.
Comput. Chem. Eng., September, 2023
Resilience assessment of chemical processes using operable adaptive sparse identification of systems.
Comput. Chem. Eng., September, 2023
An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries.
Comput. Chem. Eng., July, 2023
Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control.
Int. J. Control, March, 2023
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization.
CoRR, 2023
Model Predictive Control of Cadmium Telluride (CdTe) Quantum Dot (QD) Crystallization.
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent.
Proceedings of the American Control Conference, 2023
Control Lyapunov-Barrier function-based predictive control using a deep hybrid model with guarantees on domain of applicability.
Proceedings of the American Control Conference, 2023
2022
Dynamic modeling and predictive control of boil-off gas generation during LNG loading.
Comput. Chem. Eng., 2022
Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength.
Comput. Chem. Eng., 2022
Model Predictive Control of Spray Coating of Perovskite Quantum Dots for Application in Perovskite Solar Cells.
Proceedings of the American Control Conference, 2022
Handling cyclic loops for accurate root cause diagnosis of rare events in chemical processes using modified Bayesian network.
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Mitigation of intra-cycle mechano-chemical degradation-based capacity fade in Lithium-ion batteries: Application of a model predictive controller.
Proceedings of the American Control Conference, 2022
Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots.
Proceedings of the American Control Conference, 2022
Universal hybrid modeling of batch kinetics of aerobic carotenoid production using Saccharomyces Cerevisiae.
Proceedings of the American Control Conference, 2022
2021
Comput. Chem. Eng., 2021
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS).
Comput. Chem. Eng., 2021
Comput. Chem. Eng., 2021
Integration of offset-free control framework with Koopman Lyapunov-based model predictive control.
Proceedings of the 2021 American Control Conference, 2021
Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production.
Proceedings of the 2021 American Control Conference, 2021
A Hybrid Mechanistic Data-Driven Approach for Modeling Uncertain Intracellular Signaling Pathways.
Proceedings of the 2021 American Control Conference, 2021
Inferential model predictive control of blow-line fiber morphology in a continuous pulp digester via multiscale modeling.
Proceedings of the 2021 American Control Conference, 2021
Dynamic risk-based fault prediction of chemical processes using online sparse model identification.
Proceedings of the 2021 American Control Conference, 2021
2020
Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling.
PLoS Comput. Biol., 2020
Handling plant-model mismatch in Koopman Lyapunov-based model predictive control via offset-free control framework.
CoRR, 2020
Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control.
CoRR, 2020
Comput. Chem. Eng., 2020
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr<sub>3</sub> perovskite quantum dots in strongly confined regime.
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Closed-loop stabilization of nonlinear systems using Koopman Lyapunov-based model predictive control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
Design of online pumping schedules in naturally fractured shale formations to enhance total fracture surface area.
Proceedings of the 2020 American Control Conference, 2020
Koopman operator-based model identification and control of hydraulic fracture propagation.
Proceedings of the 2020 American Control Conference, 2020
Derivation of a Dynamic Model for Palmitate-induced NFκB Signaling Pathway through Systems Biology Approach.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Simultaneous measurement uncertainty reduction and proppant bank height control of hydraulic fracturing.
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing.
Comput. Chem. Eng., 2018
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs.
Comput. Chem. Eng., 2018
Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions.
Comput. Chem. Eng., 2018
Data-driven identification of interpretable reduced-order models using sparse regression.
Comput. Chem. Eng., 2018
Kinetic Monte Carlo modeling of multivalent binding of CTB proteins with GM1 receptors.
Comput. Chem. Eng., 2018
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition methodology.
Proceedings of the 2018 Annual American Control Conference, 2018
Identification of spatially varying geological properties in a heterogeneous reservoir using EnKF and POD based parameterization.
Proceedings of the 2018 Annual American Control Conference, 2018
Model Predictive Control of Batch Enantiomer Crystallization Using Ternary Diagram Information.
Proceedings of the 2018 Annual American Control Conference, 2018
Dynamic Modeling of Binding Kinetics Between GD1b Ganglioside and Cholera Toxin Subunit B.
Proceedings of the 2018 Annual American Control Conference, 2018
Integrative Approach to Extract the Single-cell Dynamics of LPS-induced NFκB Signal Pathway through Flow Cytometry Measurements and Parameter Estimation.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing.
Comput. Chem. Eng., 2017
Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing.
Comput. Chem. Eng., 2017
Modeling of hydraulic fracturing and developing a new pumping schedule to achieve uniform proppant concentration.
Proceedings of the 2017 American Control Conference, 2017
2013
Proceedings of the American Control Conference, 2013