Mingzhou Yin - RankMe

35 papers Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unified Bayesian Framework for Stochastic Data-Driven Smoothing, Prediction, and Control. CoRR Mingzhou Yin, Andrea Iannelli, Seyed Ali Nazari, Matthias Albrecht Müller
2025	J	`jnl`	Gaussian Process-Based Prediction and Control of Hammerstein-Wiener Systems. CoRR Mingzhou Yin, Matthias A. Müller
2025	J	`jnl`	Low-Rank Matrix Regression via Least-Angle Regression. CoRR Mingzhou Yin, Matthias Albrecht Müller
2025	J	`jnl`	Low-Rank Matrix Regression via Least-Angle Regression. IEEE Control. Syst. Lett. Mingzhou Yin, Matthias Albrecht Müller
2024	J	`jnl`	Closed-loop identification of stabilized models using dual input-output parameterization. Eur. J. Control Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
2024	—	`conf`	Data-driven formulation of the Kalman filter and its Application to Predictive Control. CDC Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin
2024	—	`conf`	Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. CDC Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin
2024	J	`jnl`	Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. CoRR Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin
2024	—	`—`	Regularized and Nonparametric Approaches in System Identification and Data-Driven Control. Mingzhou Yin
2023	—	`conf`	A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023	J	`jnl`	Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
2023	J	`jnl`	Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters. IEEE Control. Syst. Lett. Mingzhou Yin, Roy S. Smith
2023	J	`jnl`	Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters. CoRR Mingzhou Yin, Roy S. Smith
2023	J	`jnl`	Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. CoRR Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin, Roy S. Smith
2023	J	`jnl`	Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Trans. Autom. Control. Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023	J	`jnl`	Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	—	`conf`	Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. ECC Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	—	`conf`	Infinite-Dimensional Sparse Learning in Linear System Identification. CDC Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Infinite-Dimensional Sparse Learning in Linear System Identification. CoRR Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith
2022	—	`conf`	Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CDC Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2022	J	`jnl`	Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. CoRR Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	J	`jnl`	Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	—	`conf`	Design of input for data-driven simulation with Hankel and Page matrices. CDC Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2021	J	`jnl`	Design of input for data-driven simulation with Hankel and Page matrices. CoRR Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2021	—	`conf`	Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. L4DC Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2021	J	`jnl`	Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs. IEEE Control. Syst. Lett. Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Experiment design for impulse response identification with signal matrix models. CoRR Andrea Iannelli, Mingzhou Yin, Roy S. Smith
2020	J	`jnl`	Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. CoRR Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith
2020	J	`jnl`	Maximum Likelihood Estimation in Data-Driven Modeling and Control. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2020	J	`jnl`	On Low-Rank Hankel Matrix Denoising. CoRR Mingzhou Yin, Roy S. Smith
2020	J	`jnl`	Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft. CoRR Mingzhou Yin, Q. P. Chu, Y. Zhang, Michael A. Niestroy, C. C. de Visser
2020	J	`jnl`	Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. CoRR Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2019	J	`jnl`	Robust Adaptive Model Predictive Control with Worst-Case Cost. CoRR Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith
2018	—	`conf`	Dynamic Modeling and Characterization of the Core- XyCartesian Motion System. RCAR Mingzhou Yin, Yue Chen, Kit-Hang Lee, Denny K. C. Fu, Zion Tsz Ho Tse, Ka-Wai Kwok