Publication

Journal publications

Xuewen Zhang, K. Zhang, Z. Li, X. Yin. Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning. AIChE Journal, 71(3):e18644, 2025. PDF
Xuewen Zhang, M. Han, X. Yin. Reduced-order Koopman modeling and predictive control of nonlinear processes. Computers & Chemical Engineering, 179:108440, 2023. PDF
D.-N. Vo, Xuewen Zhang, X. Yin. Forecasting and surrogate models-based MINLP for long-term integrated design and planning of power-to-methanol. Applied Energy, 397:126336, 2025. PDF
X. Li, S. Bo, Xuewen Zhang, Y. Qin, X. Yin. Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes. AIChE Journal, 70(3):e18326, 2024. PDF
D.-N. Vo, K. W. Huang, Xuewen Zhang, X. Yin. Advanced designs and optimization for efficiently enhancing shipboard CO₂ capture. Industrial & Engineering Chemistry Research, 63:20963–20977, 2024. PDF
X. Chen, Xuewen Zhang, M. Han, A. W.-K. Law, X. Yin. Economic zone data-enabled predictive control for connected open water systems. Water Research, 291:125181, 2025. PDF
X. Li, M. Yan, Xuewen Zhang, M. Han, A. W.-K. Law, X. Yin. Efficient data-driven predictive control of nonlinear systems: A review and perspectives. Digital Chemical Engineering, 14:100219, 2025. PDF

Xuewen Zhang, K. W. Huang, D.-N. Vo, M. Han, B. Decardi-Nelson, X. Yin. Machine learning-enabled hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization. submitted to Chemical Engineering Science, 2025. PDF
Xuewen Zhang, X. Chen, M. Han, A. W.-K. Law, X. Yin. Zone model predictive control of open water system with time-varying parameters using hybrid two-layer modelling. submitted to Water Research, 2025.
M. Yan, Xuewen Zhang, K. Zhang, Z. Li, X. Yin. Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems. submitted to Control Engineering Practice, 2025.

Xuewen Zhang, M. Han, X. Yin. Data-driven linear predictive control of nonlinear processes based on reduced-order Koopman operator. IEEE International Conference on Systems, Man, and Cybernetics, 3565–3570, 2023. PDF
Xuewen Zhang, K. W. Huang, D.-N. Vo, M. Han, B. Decardi-Nelson, X. Yin. Learning-enabled hybrid modeling and economic predictive control of carbon capture process for ship decarbonization. ACM e-Energy, 2024.
M. Yan, Xuewen Zhang, K. Zhang, Z. Li, X. Yin. Economic data-enabled predictive control using machine learning. IFAC-PapersOnLine, 59(6):25–30, 2025. PDF
Xuewen Zhang, X. Chen, A. W.-K. Law, X. Yin. Data-based switched predictive control of pump operation for flood mitigation in connected inland and coastal water systems . SIMR, 2025.
Xuewen Zhang, X. Yin. Online data-enabled predictive control using deep learning. AIChE Annual Meeting, 2025. WEB
Xuewen Zhang, X. Chen, M. Han, A. W.-K. Law, X. Yin. Hybrid modeling and predictive control for an open water system with varying parameters. AIChE Annual Meeting, 2025. WEB