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Showing results 9 to 39 of 39

Fokker-Planck Equation based Stochastic Model Predictive Control for Solar Power Plant

Oh, Tae Hoon

Conference Paper Issue Date2023-09-11 View10

Gaussian Distribution based Method for Simulated Moving Bed Models

Oh, Tae Hoon , Oh, S , Lee, J. M

Conference Paper Issue Date2017-05-28 View9

High throughput continuous synthesis of size-controlled nanoFe3O4 in segmented flow File

Jiang, Xiaoyang , Li, Sihui , Sotowa, Ken-Ichiro , Tonomura, Osamu , Oh, Tae Hoon

Article Issue Date2023-09 View14

Integrating Path Integral Control With Backstepping Control to Regulate Stochastic System File

Bae, Shinyoung , Oh, Tae Hoon , Kim, Jong Woo , Kim, Yeonsoo , Lee, Jong Min

Article Issue Date2023-07 View8

Integration of reinforcement learning and model predictive control to optimize semi-batch bioreactor File

Oh, Tae Hoon , Park, Hyun Min , Kim, Jong Woo , Lee, Jong Min

Article Issue Date2022-06 View11

Integration of Reinforcement Learning and Model Predictive Control to Optimize Substrate Feeding Strategy of Semi-batch Bioreactor

Oh, Tae Hoon , Lee J. M

Conference Paper Issue Date2021-11-07 View6

Investigation of mass transfer in valve-controlled gas-liquid segmented flow File

Jiang, Xiaoyang , Sotowa, Ken-Ichiro , Tonomura, Osamu , Oh, Tae Hoon

Article Issue Date2023-12 View12

Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control File

Son, Sang Hwan , Kim, Jong Woo , Oh, Tae Hoon , Jeong, Dong Hwi , Lee, Jong Min

Article Issue Date2022-07 View12

Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor File

Kim, Jong Woo , Park, Byung Jun , Oh, Tae Hoon , Lee, Jong Min

Article Issue Date2021-11 View13

Model-based safe reinforcement learning for nonlinear systems under uncertainty with constraints tightening approach File

Kim, Yeonsoo , Oh, Tae Hoon

Article Issue Date2024-04 View29

Modeling and Dynamic Simulation of Simulated Moving Bed Chromatography

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2016-10-19 View11

Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences File

Son, Sang Hwan , Park, Byung Jun , Oh, Tae Hoon , Kim, Jong Woo , Lee, Jong Min

Article Issue Date2021-11 View10

Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure File

Son, Sang Hwan , Oh, Tae Hoon , Kim, Jong Woo , Lee, Jong Min

Article Issue Date2020-08 View10

Multi-strategy control to extend the feasibility region for robust model predictive control File

Oh, Tae Hoon , Kim, Jong Woo , Son, Sang Hwan , Jeong, Dong Hwi , Lee, Jong Min

Article Issue Date2022-08 View10

Multi-strategy MPC with Decomposed Disturbance Set

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2018-10-17 View10

Multi-strategy Robust MPC with Decomposed Disturbance Set

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2018-10-28 View8

Optimal Control for Concentrating Solar Power Plants using Stochastic Differential Model of Solar Irradiance

Oh, Tae Hoon

Conference Paper Issue Date2023-11-09 View7

Optimal Control for Simulated Moving Bed with Deep Reinforcement Learning

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2019-11-10 View9

”Optimizing Terminal Time of Fed-batch Bioreactor with Model Predictive Control

Oh, Tae Hoon

Conference Paper Issue Date2023-10-17 View17

Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization File

Kim, Jong Woo , Oh, Tae Hoon , Son, Sang Hwan , Lee, Jong Min

Article Issue Date2022-11 View11

Q-MPC: Integrated Algorithm of Model-free Reinforcement Learning and Model Predictive Control

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2021-10-27 View8

Q-MPC: Stable and Efficient Reinforcement Learning using Model Predictive Control

Oh, Tae Hoon

Conference Paper Issue Date2023-07-09 View12

Quantitative Comparison of Model-Free Reinforcement Learning & Data-driven Model-based Optimal Control

Oh, Tae Hoon

Conference Paper Issue Date2022-11-13 View11

Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes File

Oh, Tae Hoon

Article Issue Date2024-02 View9

Quantitative Comparison of Reinforcement Learning and Model-based Optimal Control for Chemical Processes

Oh, Tae Hoon

Conference Paper Issue Date2023-03-15 View9

Reinforcement Learning: Optimal Control for Bio & Chemical Processes

Oh, Tae Hoon

Conference Paper Issue Date2022-09-14 View6

Robust Model Predictive Control with Ellipsoidal Disturbance Set

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2018-05-17 View9

Stable & Data-Efficient Reinforcement Learning for Process Control

Oh, Tae Hoon

Conference Paper Issue Date2022-11-12 View10

Transition Model for Simulated Moving Bed Under Nonideal Conditions File

Oh, Tae Hoon , Oh, Se-Kyu , Kim, Hosoo , Lee, Kyungmoo , Lee, Jong Min

Article Issue Date2019-11 View12

Two Stage Control using Model based Reinforcement Learning and Predictive Control for Fed Batch Bioreactor

Oh, Tae Hoon , Lee, J. M

Conference Paper Issue Date2020-11-16 View10

날씨 및 외란을 고려한 재생에너지 저장 장치 운전 최적화

Oh, Tae Hoon

Conference Paper Issue Date2024-04-18 View26

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