| 2017 | Challenges and opportunities in biopharmaceutical manufacturing control 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 홍무선 | 121 |
| 2016 | Iterative learning model predictive control for constrained multivariable control of batch processes 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 107 |
| 2024 | Machine learning for industrial sensing and control: A survey and practical perspective Control Engineering Practice | 이종민 | 91 |
| 2017 | Point-to-point iterative learning model predictive control 화학공정 › 공정시스템기술 Automatica | 이종민 | 57 |
| 2021 | Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 54 |
| 2022 | Integration of reinforcement learning and model predictive control to optimize semi‐batch bioreactor 화학공정 › 공정시스템기술 AIChE Journal | 이종민 | 54 |
| 2019 | Root causality analysis at early abnormal stage using principal component analysis and multivariate Granger causality Process Safety and Environmental Protection | 이원보 | 46 |
| 2021 | Dynamic optimization of cryogenic distillation operation for hydrogen isotope separation in fusion power plant International Journal of Hydrogen Energy | 이종민 | 45 |
| 2015 | Stochastic iterative learning control for discrete linear time-invariant system with batch-varying reference trajectories 화학공정 › 공정시스템기술 Journal of Process Control | 이종민 | 45 |
| 2020 | Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey 화학공정 › 공정시스템기술 IFAC-PapersOnLine | 이종민 | 45 |
| 2021 | Automatic control of simulated moving bed process with deep Q-network 화학공정 › 공정시스템기술 Journal of Chromatography A | 이종민 | 33 |
| 2014 | Progress and Challenges in Control of Chemical Processes 화학공정 › 공정시스템기술 Annual Review of Chemical and Biomolecular Engineering | 이종민 | 30 |
| 2015 | Optimal Design and Operating Conditions of the CO2 Liquefaction Process, Considering Variations in Cooling Water Temperature Industrial & Engineering Chemistry Research | 이종민 | 28 |
| 2020 | Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso Computers & Chemical Engineering | 이종민 | 28 |
| 2022 | Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control 화학공정 › 공정시스템기술 Journal of Process Control | 이종민 | 28 |
| 2014 | Simulation-Based Optimization of Multistage Separation Process in Offshore Oil and Gas Production Facilities 화학공정 › 공정시스템기술 Industrial & Engineering Chemistry Research | 이종민 | 28 |
| 2025 | Self-Explanatory Fault Diagnosis Framework for Industrial Processes Using Graph Attention IEEE Transactions on Industrial Informatics | 이종민 | 26 |
| 2018 | NARX modeling for real-time optimization of air and gas compression systems in chemical processes 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 26 |
| 2023 | Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization 화학공정 › 촉매/반응기술 Computers & Chemical Engineering | 이종민 | 24 |
| 2020 | Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure 화학공정 › 촉매/반응기술 Journal of Process Control | 이종민 | 24 |
| 2017 | Iterative Learning Control Integrated with Model Predictive Control for Real-Time Disturbance Rejection of Batch Processes 화학공정 › 공정시스템기술 JOURNAL OF CHEMICAL ENGINEERING OF JAPAN | 이종민 | 23 |
| 2018 | Backstepping control integrated with Lyapunov-based model predictive control Journal of Process Control | 이종민 | 23 |
| 2020 | Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences 화학공정 › 공정시스템기술 International Journal of Control | 이종민 | 19 |
| 2020 | Construction of a Valid Domain for a Hybrid Model and Its Application to Dynamic Optimization with Controlled Exploration 화학공정 › 공정시스템기술 Industrial & Engineering Chemistry Research | 이종민 | 18 |
| 2023 | Automated outlier detection and estimation of missing data 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 홍무선 | 18 |
| 2021 | Data-driven fault detection for chemical processes using autoencoder with data augmentation 화학공정 › 촉매/반응기술 Korean Journal of Chemical Engineering | 이종민 | 17 |
| 2020 | Ensemble learning based latent variable model predictive control for batch trajectory tracking under concept drift 화학공정 › 공정설비기술 Computers & Chemical Engineering | 이종민 | 17 |
| 2017 | 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 Tetrafluoroborate Ionic Liquid 화학공정 › 분리/정제기술 Industrial & Engineering Chemistry Research | 이종민 | 15 |
| 2018 | Design of single mixed refrigerant natural gas liquefaction process considering load variation Process Safety and Environmental Protection | 이종민 | 15 |
| 2021 | Mechanistic modeling and parameter-adaptive nonlinear model predictive control of a microbioreactor Computers & Chemical Engineering | 홍무선 | 15 |