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Mingzhou Yin
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2020 – today
- 2024
- [b1]Mingzhou Yin:
Regularized and Nonparametric Approaches in System Identification and Data-Driven Control. ETH Zurich, Zürich, Switzerland, 2024 - [i17]Roy S. Smith, Mohamed Abdalmoaty
, Mingzhou Yin:
Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. CoRR abs/2403.15329 (2024) - 2023
- [j3]Mingzhou Yin
Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters. IEEE Control. Syst. Lett. 7: 2491-2496 (2023) - [j2]Mingzhou Yin
Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. 68(1): 317-328 (2023) - [c7]Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC 2023: 4506-4511 - [i16]Mingzhou Yin, Roy S. Smith:
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters. CoRR abs/2303.09842 (2023) - [i15]Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith:
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR abs/2311.09019 (2023) - [i14]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR abs/2312.02758 (2023) - [i13]Mohamed Abdalmoaty
Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. CoRR abs/2312.15722 (2023) - 2022
- [c6]Defne E. Ozan, Mingzhou Yin, Andrea Iannelli
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC 2022: 221-226 - [c5]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli
Infinite-Dimensional Sparse Learning in Linear System Identification. CDC 2022: 850-855 - [c4]Mingzhou Yin, Andrea Iannelli
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC 2022: 853-858 - [i12]Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli
Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR abs/2203.14731 (2022) - [i11]Defne E. Ozan, Mingzhou Yin, Andrea Iannelli
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR abs/2203.16306 (2022) - 2021
- [j1]Mingzhou Yin, Andrea Iannelli
Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. 5(1): 145-150 (2021) - [c3]Andrea Iannelli
Design of input for data-driven simulation with Hankel and Page matrices. CDC 2021: 139-145 - [c2]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC 2021: 1004-1014 - [i10]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Design of input for data-driven simulation with Hankel and Page matrices. CoRR abs/2109.04742 (2021) - [i9]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR abs/2111.04789 (2021) - 2020
- [i8]Mingzhou Yin, Q. P. Chu, Y. Zhang, Michael A. Niestroy, C. C. de Visser:
Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft. CoRR abs/2003.06588 (2020) - [i7]Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith:
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR abs/2003.06653 (2020) - [i6]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR abs/2006.03838 (2020) - [i5]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR abs/2011.00925 (2020) - [i4]Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR abs/2012.04678 (2020) - [i3]Mingzhou Yin, Roy S. Smith:
On Low-Rank Hankel Matrix Denoising. CoRR abs/2012.07433 (2020) - [i2]Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Experiment design for impulse response identification with signal matrix models. CoRR abs/2012.08126 (2020)
2010 – 2019
- 2019
- [i1]Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith:
Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR abs/1911.08607 (2019) - 2018
- [c1]Mingzhou Yin, Yue Chen, Kit-Hang Lee, Denny K. C. Fu, Zion Tsz Ho Tse
Dynamic Modeling and Characterization of the Core- XyCartesian Motion System. RCAR 2018: 206-211
Coauthor Index
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