SCHOLARS@TAMU

Kumari, P., Bhadriraju, B., Wang, Q., & Kwon, J. (2022). A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry. 110, 84-98.

Narasingam, A., Son, S. H., & Kwon, J. (2022). Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control. 1-12.

Son, S. H., Choi, H., Moon, J., & Kwon, J. (2022). Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation. 118, 104956-104956.

Hwang, G., Sitapure, N., Moon, J., Lee, H., Hwang, S., & Sang-Il Kwon, J. (2022). Model predictive control of Lithium-ion batteries: Development of optimal charging profile for reduced intracycle capacity fade using an enhanced single particle model (SPM) with first-principled chemical/mechanical degradation mechanisms. 134768-134768.

Jung, J., Choi, H., Son, S. H., Kwon, J., & Lee, J. H. (2022). Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. 158, 107640-107640.

Marcellos, C., Durand, H., Kwon, J., Barreto, A. G., Laranjeira da Cunha Lage, P., de Souza, M. B., Secchi, A. R., & Christofides, P. D. (2018). Optimal Enantiomer Crystallization Operation using Ternary Diagram Information. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 13th International Symposium on Process Systems Engineering (PSE 2018). 499-504. Elsevier.

Siddhamshetty, P., Narasingam, A., Liu, S., Valkó, P. P., & Kwon, J. (2018). Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 13th International Symposium on Process Systems Engineering (PSE 2018). 703-708. Elsevier.

Narasingam, A., Siddhamshetty, P., & Kwon, J. (2018). POD-based EnKF estimation of heterogeneous reservoir parameters for feedback control of hydraulic fracturing. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 13th International Symposium on Process Systems Engineering (PSE 2018). 733-738. Elsevier.

(2018). Stochastic Modelling of CTB-receptor Binding Kinetics. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 13th International Symposium on Process Systems Engineering (PSE 2018). 2143-2148. Elsevier.

Lee, D., Jayaraman, A., & Kwon, J. (2021). A Hybrid Mechanistic Data-Driven Approach for Modeling Uncertain Intracellular Signaling Pathways. 00, 1903-1908.

Bhadriraju, B., Kwon, J., & Khan, F. (2021). Dynamic risk-based fault prediction of chemical processes using online sparse model identification. 00, 4964-4969.

Choi, H., Son, S., & Kwon, J. (2021). Inferential model predictive control of blow-line fiber morphology in a continuous pulp digester via multiscale modeling. 00, 5043-5048.

Son, S. H., Narasingam, A., & Kwon, J. (2021). Integration of offset-free control framework with Koopman Lyapunov-based model predictive control. 00, 2818-2823.

Sitapure, N., Epps, R., Abolhasani, M., & Kwon, J. (2021). Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production. 00, 1016-1021.

Shah, P., Sheriff, Z., Bangi, M., Kravaris, C., Kwon, J., Botre, C., & Hirota, J. (2021). Deep Neural Network-Based Hybrid Modeling and Experimental Validation for a Full-Scale Bio-Fermentation Process: Identification of Time-Varying Dependencies Among Parameters. SSRN Electronic Journal.

Narasingam, A., & Kwon, J. (2020). Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control.

Son, S. H., Narasingam, A., & Kwon, J. (2020). Handling plant-model mismatch in Koopman Lyapunov-based model predictive control via offset-free control framework.