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Jong Woo Kim
Jong Woo Kim
Department of Energy and Chemical Engineering, Incheon National University
Bestätigte E-Mail-Adresse bei inu.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation
H Yoo, B Kim, JW Kim, JH Lee
Computers & Chemical Engineering 144 (4), 2020
962020
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
502020
Integration of Reinforcement Learning and Model Predictive Control to Optimize Semi‐batch Bioreactor
TH Oh, HM Park, JW Kim, JM Lee
AIChE Journal, e17658, 2022
372022
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, 2021
302021
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
RB Gopaluni, A Tulsyan, B Chachuat, B Huang, JM Lee, F Amjad, ...
IFAC-PapersOnLine 53 (2), 218-229, 2020
292020
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
222020
Automatic Control of Simulated Moving Bed Process with Deep Q-Network
TH Oh, JW Kim, SH Song, H Kim, K Lee, JM Lee
Journal of Chromatography A 462073, 2021
192021
A POMDP framework for integrated scheduling of infrastructure maintenance and inspection
JW Kim, GB Choi, JM Lee
Computers & Chemical Engineering 112 (6), 239-252, 2018
182018
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, 1-13, 2020
172020
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
N Duong-Trung, S Born, JW Kim, MT Schermeyer, K Paulick, M Borisyak, ...
Biochemical Engineering Journal 190, 108764, 2023
152023
High‐throughput screening of optimal process conditions using model predictive control
N Krausch, JW Kim, T Barz, S Lucia, S Groß, MC Huber, SM Schiller, ...
Biotechnology and bioengineering 119 (12), 3584-3595, 2022
142022
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
142022
Deep reinforcement learning based finite-horizon optimal tracking control for nonlinear system
JW Kim, BJ Park, H Yoo, JH Lee, JM Lee
IFAC-PapersOnLine 51 (25), 257--262, 2018
132018
A prioritization method for replacement of water mains using rank aggregation
GB Choi, JW Kim, JC Suh, KH Jang, JM Lee
Korean Journal of Chemical Engineering 34, 2584-2590, 2017
132017
Optimal Scheduling of the Maintenance and Improvement for Water Main System Using Markov Decision Process
JW Kim, GB Choi, JC Suh, JM Lee
IFAC-PapersOnLine 48 (8), 379-384, 2015
122015
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli
JW Kim, N Krausch, J Aizpuru, T Barz, S Lucia, P Neubauer, ...
Computers & Chemical Engineering 172, 108158, 2023
92023
Safe model‐based reinforcement learning for nonlinear optimal control with state and input constraints
Y Kim, JW Kim
AIChE Journal, e17601, 2022
92022
An electrochemical hydrogen peroxide sensor for applications in nuclear industry
J Park, JW Kim, H Kim, W Yoon
Nuclear Engineering and Technology 53 (1), 142-147, 2021
92021
Dynamic optimization of maintenance and improvement planning for water main system: Periodic replacement approach
JW Kim, GB Choi, JC Suh, JM Lee
Korean Journal of Chemical Engineering 33, 25-32, 2016
92016
Convergence analysis of the deep neural networks based globalized dual heuristic programming
JW Kim, TH Oh, SH Son, DH Jeong, JM Lee
Automatica 122, 2020
82020
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