| A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant Y Zhuang, Y Liu, A Ahmed, Z Zhong, EA del Rio Chanona, CP Hale, ... Computers in Industry 143, 103747, 2022 | 16 | 2022 |
| Data-driven distributionally robust MPC using the Wasserstein metric Z Zhong, EA del Rio-Chanona, P Petsagkourakis arXiv preprint arXiv:2105.08414, 2021 | 16 | 2021 |
| Tube-based distributionally robust model predictive control for nonlinear process systems via linearization Z Zhong, EA del Rio-Chanona, P Petsagkourakis Computers & Chemical Engineering 170, 108112, 2023 | 9 | 2023 |
| Nonlinear Wasserstein Distributionally Robust Optimal Control Z Zhong, JJ Zhu ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems …, 2023 | 7 | 2023 |
| An efficient data-driven distributionally robust MPC leveraging linear programming Z Zhong, EA Del Rio-Chanona, P Petsagkourakis 2023 American Control Conference (ACC), 2022-2027, 2023 | 3 | 2023 |
| Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings O Schön, Z Zhong, S Soudjani arXiv preprint arXiv:2403.10497, 2024 | 2 | 2024 |
| Distributionally Robust MPC for Nonlinear Systems Z Zhong, EA del Rio-Chanona, P Petsagkourakis IFAC-PapersOnLine 55 (7), 606-613, 2022 | 2 | 2022 |
| Multi-level Optimal Control with Neural Surrogate Models D Kalise, E Loayza-Romero, KA Morris, Z Zhong arXiv preprint arXiv:2402.07763, 2024 | | 2024 |
Ehecatl Antonio del Río ChanonaSargent Centre for Process Systems Engineering, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Ehecatl Antonio del Río ChanonaSargent Centre for Process Systems Engineering, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Panagiotis PetsagkourakisSargent Centre for Process Systems Engineering在 imperial.ac.uk 的电子邮件经过验证