| A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system JW Kim, BJ Park, H Yoo, TH Oh, JH Lee, JM Lee Journal of Process Control 87, 166-178, 2020 | 50 | 2020 |
| Integration of reinforcement learning and model predictive control to optimize semi‐batch bioreactor TH Oh, HM Park, JW Kim, JM Lee AIChE Journal 68 (6), e17658, 2022 | 37 | 2022 |
| Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor JW Kim, BJ Park, TH Oh, JM Lee Computers & Chemical Engineering 154, 107465, 2021 | 30 | 2021 |
| Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure SH Son, TH Oh, JW Kim, JM Lee Journal of Process Control 92, 50-61, 2020 | 23 | 2020 |
| Automatic control of simulated moving bed process with deep Q-network TH Oh, JW Kim, SH Son, H Kim, K Lee, JM Lee Journal of Chromatography A 1647, 462073, 2021 | 19 | 2021 |
| Backstepping control integrated with Lyapunov-based model predictive control Y Kim, TH Oh, T Park, JM Lee Journal of Process Control 73, 137-146, 2019 | 18 | 2019 |
| Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences SH Son, BJ Park, TH Oh, JW Kim, JM Lee International Journal of Control 94 (11), 3213-3225, 2021 | 17 | 2021 |
| Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control SH Son, JW Kim, TH Oh, DH Jeong, JM Lee Journal of Process Control 115, 112-122, 2022 | 14 | 2022 |
| Conceptual design of an energy-efficient process for separating aromatic compounds from naphtha with a high concentration of aromatic compounds using 4-methyl-N-butylpyridinium … TH Oh, SK Oh, H Kim, K Lee, JM Lee Industrial & Engineering Chemistry Research 56 (25), 7273-7284, 2017 | 13 | 2017 |
| Convergence analysis of the deep neural networks based globalized dual heuristic programming JW Kim, TH Oh, SH Son, DH Jeong, JM Lee Automatica 122, 109222, 2020 | 8 | 2020 |
| Multi-strategy control to extend the feasibility region for robust model predictive control TH Oh, JW Kim, SH Son, DH Jeong, JM Lee Journal of Process Control 116, 25-33, 2022 | 6 | 2022 |
| Transition model for simulated moving bed under nonideal conditions TH Oh, SK Oh, H Kim, K Lee, JM Lee Industrial & Engineering Chemistry Research 58 (47), 21625-21640, 2019 | 6 | 2019 |
| High throughput continuous synthesis of size-controlled nanoFe3O4 in segmented flow X Jiang, S Li, KI Sotowa, O Tonomura, TH Oh Chemical Engineering Journal 471, 144546, 2023 | 3 | 2023 |
| Modeling and optimization of simulated moving bed chromatography with side streams TH Oh, SK Oh, JM Lee 2017 6th International Symposium on Advanced Control of Industrial Processes …, 2017 | 3 | 2017 |
| Hybrid model predictive control for hybrid electric vehicle energy management using an efficient mixed-integer formulation H Jung, TH Oh, HM Park, H Lee, JM Lee IFAC-PapersOnLine 55 (7), 501-506, 2022 | 2 | 2022 |
| Applying Digital Application Platform to Optimize Steam Methane Reforming Process TH Oh, LFS Souza, JM Lee 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 2 | 2021 |
| Model-plant mismatch learning offset-free model predictive control SH Son, JW Kim, TH Oh, JM Lee arXiv preprint arXiv:2012.02753, 2020 | 2 | 2020 |
| Investigation of mass transfer in valve-controlled gas–liquid segmented flow X Jiang, KI Sotowa, O Tonomura, TH Oh Chemical Engineering and Processing-Process Intensification 194, 109578, 2023 | 1 | 2023 |
| Primal–dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization JW Kim, TH Oh, SH Son, JM Lee Computers & Chemical Engineering 167, 108004, 2022 | 1 | 2022 |
| Improved offset-free model predictive control utilizing learned model-plant mismatch map SH Son, JW Kim, TH Oh, GB Lee, JM Lee IFAC-PapersOnLine 55 (7), 792-797, 2022 | 1 | 2022 |
Jong Woo KimDepartment of Energy and Chemical Engineering, Incheon National Universityinu.ac.kr의 이메일 확인됨
