| Reduced-order Koopman modeling and predictive control of nonlinear processes X Zhang, M Han, X Yin Computers & Chemical Engineering 179, 108440, 2023 | 9 | 2023 |
| Data‐driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large‐scale nonlinear processes X Li, S Bo, X Zhang, Y Qin, X Yin AIChE Journal 70 (3), e18326, 2024 | 5 | 2024 |
| Data-driven linear predictive control of nonlinear processes based on reduced-order Koopman operator X Zhang, M Han, X Yin 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | 2 | 2023 |
| Feasibility Study and Machine Learning-Based Optimization for Shipboard CO2 Capture Leveraging Available Energy Sources DN Vo, X Zhang, KW Huang, X Yin 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning X Zhang, K Zhang, Z Li, X Yin arXiv preprint arXiv:2408.16338, 2024 | | 2024 |
| Deep Learning Aided Koopman Predictive Control for Post-Combustion CO2 Capture Process X Zhang, B Decardi-Nelson, X Yin 2022 AIChE Annual Meeting, 2022 | | 2022 |
