| 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 | 106 | 2020 |
| 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 | 51 | 2020 |
| 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 | 39 | 2022 |
| 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 | 33 | 2020 |
| 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 | 31 | 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 | 24 | 2020 |
| 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 | 21 | 2021 |
| 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 | 18 | 2023 |
| 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 | 18 | 2020 |
| 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 | 18 | 2018 |
| 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 | 15 | 2022 |
| 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 | 15 | 2022 |
| 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 | 14 | 2017 |
| 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 | 13 | 2018 |
| 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 | 12 | 2015 |
| 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 | 10 | 2023 |
| Safe model‐based reinforcement learning for nonlinear optimal control with state and input constraints Y Kim, JW Kim AIChE Journal, e17601, 2022 | 9 | 2022 |
| 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 | 9 | 2021 |
| 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 | 8 | 2020 |
| 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 | 8 | 2016 |
Tae Hoon OhGraduate School of Carbon Neutrality在 unist.ac.kr 的电子邮件经过验证
