Robust leak detection and its localization using interval estimation for water distribution network Y Kim, SJ Lee, T Park, G Lee, JC Suh, JM Lee Computers & Chemical Engineering 92, 1-17, 2016 | 52 | 2016 |
Model‐based reinforcement learning for nonlinear optimal control with practical asymptotic stability guarantees Y Kim, JM Lee AIChE Journal 66 (10), e16544, 2020 | 21 | 2020 |
Hybrid nonlinear model predictive control of LNT and urealess SCR aftertreatment system Y Kim, T Park, C Jung, CH Kim, YW Kim, JM Lee IEEE Transactions on Control Systems Technology 27 (5), 2305-2313, 2018 | 21 | 2018 |
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 |
Multirate moving horizon estimation combined with parameter subset selection J Bae, Y Kim, JM Lee Computers & Chemical Engineering 147, 107253, 2021 | 10 | 2021 |
Safe model‐based reinforcement learning for nonlinear optimal control with state and input constraints Y Kim, JW Kim AIChE Journal 68 (5), e17601, 2022 | 9 | 2022 |
Design of switching multilinear model predictive control using gap metric BJ Park, Y Kim, JM Lee Computers & Chemical Engineering 150, 107317, 2021 | 9 | 2021 |
Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method Y Kim, DM Thierry, LT Biegler Journal of Process Control 96, 82-93, 2020 | 8 | 2020 |
An improved thermal single particle model and parameter estimation for high-capacity battery cell C Hong, H Cho, D Hong, SK Oh, Y Kim Electrochimica Acta 439, 141638, 2023 | 6 | 2023 |
Urea injection control based on deep-Q networks for SCR aftertreatment systems SY Bae, DH Jeong, Y Kim, BJ Lee, S Lim, C Jung, CH Kim, YW Kim, ... IFAC-PapersOnLine 53 (2), 8169-8174, 2020 | 6 | 2020 |
Decision tree analysis on the performance of zeolite-based SCR catalysts SY Bae, JS Shin, YS Kim, JM Lee IFAC-PapersOnLine 54 (3), 55-60, 2021 | 5 | 2021 |
Optimization of compression ratio in closed-loop CO2 liquefaction process T Park, H Kwak, Y Kim, JM Lee Korean Journal of Chemical Engineering 35, 2150-2156, 2018 | 5 | 2018 |
Automated model calibration for urea-SCR systems using Test-Rig Data S Lim, B Lee, S Choi, Y Kim, JM Lee Industrial & Engineering Chemistry Research 61 (36), 13523-13531, 2022 | 4 | 2022 |
Data-driven inference of synthesis guidelines for high-performance zeolite-based selective catalytic reduction catalysts at low temperatures S Bae, H Lee, J Shin, HS Kim, Y Kim, DH Kim, JM Lee Chemistry of Materials 34 (17), 7761-7773, 2022 | 4 | 2022 |
Integration of model predictive control and backstepping approach and its stability analysis Y Kim, T Park, JM Lee IFAC-PapersOnLine 51 (18), 405-410, 2018 | 4 | 2018 |
Dynamic modelling and sensitivity analysis integrated LNT-pSCR system Y Kim, C Jung, CH Kim, YW Kim, JM Lee IFAC-PapersOnLine 49 (7), 326-331, 2016 | 4 | 2016 |
Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies Y Jung, H Kim, G Jeon, Y Kim Computers & Chemical Engineering 177, 108333, 2023 | 3 | 2023 |
Advanced-multi-step moving horizon estimation Y Kim, KH Lin, DM Thierry, LT Biegler IFAC-PapersOnLine 54 (3), 269-274, 2021 | 3 | 2021 |
Feature construction for on-board early prediction of electric vehicle battery cycle life J Shin, Y Kim, JM Lee Korean Journal of Chemical Engineering 40 (8), 1850-1862, 2023 | 2 | 2023 |
Exergy destruction improvement of hydrogen liquefaction process considering variations in cooling water temperature DH Lee, SY Yu, SY Yeom, JJ Lee, BC Kang, CH Cho, SG Lee, Y Kim Korean Journal of Chemical Engineering 40 (8), 1839-1849, 2023 | 2 | 2023 |