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Tae Hoon Oh
Tae Hoon Oh
Graduate School of Carbon Neutrality
unist.ac.kr의 이메일 확인됨 - 홈페이지
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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
512020
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
412022
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
312021
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
242020
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
212021
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
192019
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
182021
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
152022
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
132017
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
82020
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
72022
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
62019
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
32023
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
32022
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
32017
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
22021
Model-plant mismatch learning offset-free model predictive control
SH Son, JW Kim, TH Oh, JM Lee
arXiv preprint arXiv:2012.02753, 2020
22020
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
12023
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
12022
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
12022
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