| Maximum likelihood estimation in data-driven modeling and control M Yin, A Iannelli, RS Smith IEEE Transactions on Automatic Control 68 (1), 317-328, 2021 | 87 | 2021 |
| Probabilistic flight envelope estimation with application to unstable overactuated aircraft M Yin, QP Chu, Y Zhang, MA Niestroy, CC de Visser Journal of Guidance, Control, and Dynamics 42 (12), 2650-2663, 2019 | 19 | 2019 |
| Maximum likelihood signal matrix model for data-driven predictive control M Yin, A Iannelli, RS Smith Learning for Dynamics and Control, 1004-1014, 2021 | 17 | 2021 |
| Experiment design for impulse response identification with signal matrix models A Iannelli, M Yin, RS Smith IFAC-PapersOnLine 54 (7), 625-630, 2021 | 15 | 2021 |
| Data-driven prediction with stochastic data: Confidence regions and minimum mean-squared error estimates M Yin, A Iannelli, RS Smith 2022 European Control Conference (ECC), 853-858, 2022 | 11 | 2022 |
| Low-complexity identification by sparse hyperparameter estimation M Khosravi, M Yin, A Iannelli, A Parsi, RS Smith IFAC-PapersOnLine 53 (2), 412-417, 2020 | 11 | 2020 |
| On low-rank hankel matrix denoising M Yin, RS Smith IFAC-PapersOnLine 54 (7), 198-203, 2021 | 10 | 2021 |
| Data-driven predictive control for demand side management: Theoretical and experimental results M Yin, H Cai, A Gattiglio, F Khayatian, RS Smith, P Heer Applied Energy 353, 122101, 2024 | 9 | 2024 |
| Regularized system identification: A hierarchical Bayesian approach M Khosravi, A Iannelli, M Yin, A Parsi, RS Smith IFAC-PapersOnLine 53 (2), 406-411, 2020 | 8 | 2020 |
| Linear time-periodic system identification with grouped atomic norm regularization M Yin, A Iannelli, M Khosravi, A Parsi, RS Smith IFAC-PapersOnLine 53 (2), 1237-1242, 2020 | 8 | 2020 |
| Dynamic modeling and characterization of the core-xycartesian motion system M Yin, Y Chen, KH Lee, DKC Fu, ZTH Tse, KW Kwok 2018 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2018 | 8 | 2018 |
| Stochastic data-driven predictive control: Regularization, estimation, and constraint tightening M Yin, A Iannelli, RS Smith IFAC-PapersOnLine 58 (15), 79-84, 2024 | 6 | 2024 |
| Design of input for data-driven simulation with Hankel and Page matrices A Iannelli, M Yin, RS Smith 2021 60th IEEE Conference on Decision and Control (CDC), 139-145, 2021 | 6 | 2021 |
| Subspace identification of linear time-periodic systems with periodic inputs M Yin, A Iannelli, RS Smith IEEE Control Systems Letters 5 (1), 145-150, 2020 | 6 | 2020 |
| Robust adaptive model predictive control with worst-case cost A Parsi, A Iannelli, M Yin, M Khosravi, RS Smith IFAC-PapersOnLine 53 (2), 4222-4227, 2020 | 6 | 2020 |
| Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models RS Smith, M Abdalmoaty, M Yin arXiv preprint arXiv:2403.15329, 2024 | 2 | 2024 |
| Infinite-Dimensional Sparse Learning in Linear System Identification M Yin, MT Akan, A Iannelli, RS Smith 2022 IEEE 61st Conference on Decision and Control (CDC), 850-855, 2022 | 2 | 2022 |
| Regularized classification and simulation of bifurcation regimes in nonlinear systems DE Ozan, A Iannelli, M Yin, RS Smith IFAC-PapersOnLine 54 (14), 352-357, 2021 | 2 | 2021 |
| Frequency-domain identification of discrete-time systems using sum-of-rational optimization M Abdalmoaty, J Miller, M Yin, RS Smith IFAC-PapersOnLine 58 (15), 121-126, 2024 | 1 | 2024 |
| A Dual System-Level Parameterization for Identification from Closed-Loop Data A Srivastava, M Yin, A Iannelli, RS Smith 2023 62nd IEEE Conference on Decision and Control (CDC), 4506-4511, 2023 | 1 | 2023 |
Roy S SmithProfessor of Information Technology and Electrical Engineering, ETH ZurichVerified email at control.ee.ethz.ch
