| Fast self-triggered MPC for constrained linear systems with additive disturbances L Dai, M Cannon, F Yang, S Yan IEEE Transactions on Automatic Control 66 (8), 3624-3637, 2020 | 30 | 2020 |
| Stochastic model predictive control with discounted probabilistic constraints S Yan, P Goulart, M Cannon 2018 European Control Conference (ECC), 1003-1008, 2018 | 23 | 2018 |
| A distributionally robust approach to regret optimal control using the wasserstein distance F Al Taha, S Yan, E Bitar 2023 62nd IEEE Conference on Decision and Control (CDC), 2768-2775, 2023 | 12 | 2023 |
| Stochastic MPC with dynamic feedback gain selection and discounted probabilistic constraints S Yan, PJ Goulart, M Cannon IEEE Transactions on Automatic Control 67 (11), 5885-5899, 2021 | 11 | 2021 |
| Stochastic output feedback MPC with intermittent observations S Yan, M Cannon, PJ Goulart Automatica 141, 110282, 2022 | 6 | 2022 |
| Output feedback stochastic MPC with packet losses S Yan, M Cannon, P Goulart IFAC-PapersOnLine 53 (2), 7105-7110, 2020 | 3 | 2020 |
| Data-driven approximations of chance constrained programs in nonstationary environments S Yan, F Parise, E Bitar IEEE Control Systems Letters 6, 2671-2676, 2022 | 2 | 2022 |
| Learning-based rigid tube model predictive control Y Gao, S Yan, J Zhou, M Cannon, A Abate, KH Johansson 6th Annual Learning for Dynamics & Control Conference, 492-503, 2024 | | 2024 |
| Prediction for Dynamic Systems Using Impulse Response Representation TL Vincent, S Yan, E Bitar IEEE Transactions on Automatic Control 69 (2), 1296-1302, 2023 | | 2023 |
| Robust and stochastic receding horizon control S Yan University of Oxford, 2021 | | 2021 |
Mark CannonUniversity of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
