Mingzhou Yin

According to our database, Mingzhou Yin authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Regularized and Nonparametric Approaches in System Identification and Data-Driven Control.

Mingzhou Yin

PhD thesis, 2024

Closed-loop identification of stabilized models using dual input-output parameterization.

Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith

Eur. J. Control, 2024

Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models.

Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin

CoRR, 2024

2023

Maximum Likelihood Estimation in Data-Driven Modeling and Control.

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

IEEE Trans. Autom. Control., 2023

Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters.

Mingzhou Yin, Roy S. Smith

IEEE Control. Syst. Lett., 2023

Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization.

Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin, Roy S. Smith

CoRR, 2023

Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening.

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

CoRR, 2023

A Dual System-Level Parameterization for Identification from Closed-Loop Data.

Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates.

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Proceedings of the European Control Conference, 2022

Infinite-Dimensional Sparse Learning in Linear System Identification.

Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli, Roy S. Smith

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models.

Defne E. Ozan, Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Subspace Identification of Linear Time-Periodic Systems With Periodic Inputs.

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

IEEE Control. Syst. Lett., 2021

Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control.

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Design of input for data-driven simulation with Hankel and Page matrices.

Andrea Iannelli, Mingzhou Yin, Roy S. Smith

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Experiment design for impulse response identification with signal matrix models.

Andrea Iannelli, Mingzhou Yin, Roy S. Smith

CoRR, 2020

On Low-Rank Hankel Matrix Denoising.

Mingzhou Yin, Roy S. Smith

CoRR, 2020

Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization.

Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith

CoRR, 2020

Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft.

Mingzhou Yin, Q. P. Chu, Y. Zhang, Michael A. Niestroy, C. C. de Visser

CoRR, 2020

2019

Robust Adaptive Model Predictive Control with Worst-Case Cost.

Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith

CoRR, 2019

2018

Dynamic Modeling and Characterization of the Core- XyCartesian Motion System.

Mingzhou Yin, Yue Chen, Kit-Hang Lee, Denny K. C. Fu, Zion Tsz Ho Tse, Ka-Wai Kwok

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018