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YIN Mingzhou
YIN Mingzhou
Automatic Control Laboratory, ETH Zurich
Verified email at control.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
732021
Maximum likelihood signal matrix model for data-driven predictive control
M Yin, A Iannelli, RS Smith
Learning for Dynamics and Control, 1004-1014, 2021
152021
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
152019
Experiment design for impulse response identification with signal matrix models
A Iannelli, M Yin, RS Smith
IFAC-PapersOnLine 54 (7), 625-630, 2021
142021
Low-complexity identification by sparse hyperparameter estimation
M Khosravi, M Yin, A Iannelli, A Parsi, RS Smith
IFAC-PapersOnLine 53 (2), 412-417, 2020
112020
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
82022
Regularized system identification: A hierarchical Bayesian approach
M Khosravi, A Iannelli, M Yin, A Parsi, RS Smith
IFAC-PapersOnLine 53 (2), 406-411, 2020
82020
On low-rank hankel matrix denoising
M Yin, RS Smith
IFAC-PapersOnLine 54 (7), 198-203, 2021
72021
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
72020
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
62021
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
62018
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
52020
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
42020
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
32024
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
22021
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
12023
Stochastic data-driven predictive control: Regularization, estimation, and constraint tightening
M Yin, A Iannelli, RS Smith
arXiv preprint arXiv:2312.02758, 2023
12023
Frequency-Domain System Identification using Sum-of-Rational Optimization
M Abdalmoaty, JF Miller, M Yin, R Smith
ETH Zurich, 2023
12023
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
12022
Kernel-based Identification of Periodically Parameter-Varying Models of Power Kites
M Yin, DE Ozan, A Iannelli, RS Smith
Airborne Wind Energy Conference, 2021
12021
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