M. Shin, Y. Kim, W. Won, Y. Kim†, Economic and Environmental Assessment of Natural Gas-Ammonia Co-Firing: A Comparative AHP Analysis of Ammonia Production Methods, Under Review.
S. Shin, D. Jeong, Y. Kim†, Optimal control for battery thermal management based on deep reinforcement learning, Under Review.
H. Jin*, T. Son*, J. Park, J. Chang, S. Yang, D. H. Kim†, Y. Kim†, Optimal design for ammonia cracking reactors with commercial Ru/Al2O3 and Ni/Al2O3 catalysts: Experimental evaluation and one-dimensional modeling, Under Review.
T. H. Oh, J. W. Kim, Y. Kim, J. M. Lee†, Fokker-Planck Equation-based Stochastic Nonlinear Model Predictive Control, Under Review.
H. Kim*, C. Hong*, S. -K. Oh, D. Hong, J. Kim Y. Kim†, A simple model of heat exchangers with phase length function in electric vehicles, Applied Thermal Engineering, 2025. [link]
C. Hong*, S. Shin*, H. Cho, D. Hong, S. -K. Oh, Y. Kim†, Fast Zone Model Predictive Control for High Capacity Battery Sub-pack of Electric Vehicle, IEEE Transactions on Control Systems Technology, 2025. [link]
G. Jeon, Y. Kim†, Model-based fault detection algorithm for liquid hydrogen refueling system using CUSUM method, Computers & Chemical Engineering, 2024. [link]
Y. Kim, T. H. Oh†, Model-based Safe Reinforcement Learning for Nonlinear Systems under Uncertainty with Constraints Tightening Approach, Computers & Chemical Engineering, 2024. [link]
Y. Kim†, Critical review of optimal control methods for Li-ion batteries in electric vehicles, ChemElectroChem, 2024. [link]
H. Cho, C. Hong, D. Hong, S. -K. Oh, Y. Kim†, Thermal Equivalent Circuit Model and Parameter Estimation for High-Capacity Li-ion Cell, Journal of The Electrochemical Society, 2023. [link]
Y. Jung, H. Kim, G. Jeon, Y. Kim†, Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies, Computers & Chemical Engineering, 2023. [link]
D. H. Lee*, S. Y. Yu*, S. Y. Yeom, J. J. Lee, B. C. Kang, C. H. Cho, S. G. Lee†, Y. Kim†, Exergy Destruction Improvement of Hydrogen Liquefaction Process Considering Variations in Cooling Water Temperature, Korean Journal of Chemical Engineering, 2023. [link]
J. Shin, Y. Kim†, J. M. Lee†, Feature construction for on-board early prediction of electric vehicle battery cycle life, Korean Journal of Chemical Engineering, 2023. [link]
S. Bae*, T. H. Oh*, J. W. Kim, Y. Kim†, J. M. Lee†, Integrating path integral control with backstepping control to regulate stochastic system, International Journal of Control, Automation and Systems, 2023. [link]
C. Hong, H. Cho, D. Hong, S. -K. Oh, Y. Kim†, An Improved Thermal Single Particle Model and Parameter Estimation for High-capacity Battery Cell, Electrochimica Acta, 2023. [link]
C. K. Chae, B. H. Park, S. K. Kang, J.-O. Choi, J. H. Park, W. Won, Y. Kim†, Development of real time responding hydrogen fueling protocol and its risk assessment, Korean Journal of Chemical Engineering, 2022. [link]
S. Bae, H. Lee, J. Shin, H. S. Kim, Y. Kim, D. H. Kim, J. M. Lee, Data-driven Inference of Synthesis Guidelines for High-performance Zeolite-based Selective Catalytic Reduction Catalysts at Low Temperatures, Chemistry of Materials, 2022. [link]
S. Lim, B. Lee, S. Choi, Y. Kim†, J. M. Lee†, Automated model calibration for urea-SCR system using test-rig data, Industrial & Engineering Chemistry Research, 2022. [link]
Y. Kim*, K. H. Lin*, D. M. Thierry, L. T. Biegler, Advanced-multi-step moving horizon estimation for large-scale nonlinear systems, Journal of Process Control, 2022. [link]
C. Hong, S. -K. Oh, Y. Kim†, Sensitivity analysis for parameter classification of energy balance-integrated single particle model for battery cells, Korean Journal of Chemical Engineering, 2022. [link]
Y. Kim†, J. W. Kim, Safe model-based reinforcement learning for nonlinear optimal control with state and input constraints, AIChE Journal, 2022. [link]
J. Bae, Y. Kim†, J. M. Lee†, Multirate moving horizon estimation combined with parameter subset selection, Computers & Chemical Engineering, 2021. [link]
B. Park, Y. Kim†, J. M. Lee†, Design of switching multilinear model predictive control using gap metric, Computers & Chemical Engineering, 2021. [link]
Y. Kim, D. M. Thierry, L. T. Biegler, Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method, Journal of Process Control, 2020. [link]
Y. Kim, J. M. Lee, Model-based reinforcement learning for nonlinear optimal control with practical asymptotic stability guarantees, AIChE Journal, 2020. [link]
Y. Kim, T. Park, C. Jung, C. H. Kim, Y. W. Kim, J. M. Lee, Hybrid nonlinear model predictive control of LNT and urealess SCR aftertreatment system, IEEE Transactions on Control Systems Technology, 27(5), 2305-2313, 2019. [link]
Y. Kim, T. H. Oh, T. Park, J. M. Lee, Backstepping control integrated with Lyapunov-based model predictive control, Journal of Process Control, 73, 137-146, 2019. [link]
Y. Kim, T. Park, C. Jung, C. H. Kim, Y. W. Kim, J. M. Lee, Multi-objective optimal design of LNT and urealess SCR aftertreatment system under control algorithm, Industrial & Engineering Chemistry Research, 57(49), 16772-16781, 2018 (Selected as Supplementary Journal Cover). [link]
T. Park, H. Kwak, Y. Kim, J. M. Lee, Optimization of compression ratio in closed-loop CO2 liquefaction process, Korean Journal of Chemical Engineering, 35(11), 2150-2156, 2018. [link]
Y. Kim, S. J. Lee, T. Park, G. Lee, J. C. Suh, J. M. Lee, Robust leak detection and its localization using interval estimation for water distribution network, Computers & Chemical Engineering, 92, 1-17, 2016. [link]