Convergence analysis of the deep neural networks based globalized dual heuristic programming. - Jong Woo Kim; Tae Hoon Oh; Sang Hwan Son; Dong Hwi Jeong; Jong Min Lee 002 (Autom., 2020)

Model-plant mismatch learning offset-free model predictive control. - Sang Hwan Son; Jong Woo Kim; Tae Hoon Oh; Jong Min Lee 002 (CoRR, 2020)

Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor. - Jong Woo Kim; Byung Jun Park; Tae Hoon Oh; Jong Min Lee 002 (Comput. Chem. Eng., 2021)

Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences. - Sang Hwan Son; Byung Jun Park; Tae Hoon Oh; Jong Woo Kim; Jong Min Lee 002 (Int. J. Control, 2021)

Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization. - Jong Woo Kim; Tae Hoon Oh; Sang Hwan Son; Jong Min Lee 002 (Comput. Chem. Eng., 2022)

Model-based safe reinforcement learning for nonlinear systems under uncertainty with constraints tightening approach. - Yeonsoo Kim; Tae Hoon Oh (Comput. Chem. Eng., 2024)

Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes. - Tae Hoon Oh (Comput. Chem. Eng., 2024)