Mingzhou Yin

Publications

Google Scholar page

Preprints

Yin M., Iannelli A., Nazari S.A., Müller M.A. (2025). A Unified Bayesian Framework for Stochastic Data-Driven Smoothing, Prediction, and Control. arXiv:2512.01475. Code.
Yin M., Müller M.A. (2025). Gaussian Process-Based Prediction and Control of Hammerstein-Wiener Systems. arXiv:2501.15849. Code.

Journals

Yin M., Müller M.A. (2025). Low-Rank Matrix Regression via Least-Angle Regression. IEEE Control Systems Letters, 9, 637-642. arXiv:2503.10569. Code.
Chen R., Srivastava A., Yin M., Smith R.S. (2024). Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. European Journal of Control, 101089. arXiv:2311.09019. Code.
Yin M., Cai H., Gattiglio A., Khayatian F., Smith R.S, Heer P. (2024). Data-driven Predictive Control for Demand Side Management: Theoretical and Experimental Results. Applied Energy, 353(A), 122101. Code.
Yin M., Smith R.S. (2023). Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters. IEEE Control Systems Letters, 7, 2491-2496. arXiv:2303.09842. Code.
Yin M., Iannelli A., Smith R.S. (2021). Maximum Likelihood Estimation in Data-Driven Modeling and Control. IEEE Transactions on Automatic Control, 68(1), 317-328. arXiv:2011.00925. Code.
Yin M., Iannelli A., Smith R.S. (2021). Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs. IEEE Control Systems Letters, 5(1), 145-150. arXiv:2006.03838. Code.
Yin M., Chu Q. P., Zhang Y., Niestroy M. A., de Visser C. C. (2019). Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft. Journal of Guidance, Control, and Dynamics, 42(12), 2650-2663. arXiv:2003.06588.

Conference Papers

Smith R.S, Abdalmoaty M., Yin M.. (2024). Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models. IEEE Conference on Decision and Control. arXiv:2403.15329. Code.
Smith R.S, Abdalmoaty M., Yin M.. (2024). Data-Driven Formulation of the Kalman Filter and its Application to Predictive Control. IEEE Conference on Decision and Control. ETH RC. Code.
Yin M., Iannelli A., Smith R.S. (2024). Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. IFAC Symposium on System Identification. arXiv:2312.02758. Code.
Abdalmoaty M., Miller J., Yin M., Smith R.S. (2024). Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. IFAC Symposium on System Identification. arXiv:2312.15722. Code.
Srivastava A., Yin M., Iannelli A., Smith R.S. (2023). A Dual System-Level Parameterization for Identification from Closed-Loop Data. IEEE Conference on Decision and Control. arXiv:2304.02379. Code.
Yin M., Akan M.T., Iannelli A., Smith R.S. (2022). Infinite-Dimensional Sparse Learning in Linear System Identification. IEEE Conference on Decision and Control. arXiv:2203.14731. Code.
Ozan D.E., Yin M., Iannelli A., Smith R.S. (2022). Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models. IEEE Conference on Decision and Control. arXiv:2203.16306. Code.
Yin M., Iannelli A., Smith R.S. (2022). Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. European Control Conference. arXiv:2111.04789. Code.
Iannelli A., Yin M., Smith R.S. (2021). Design of Input for Data-Driven Simulation with Hankel and Page Matrices. IEEE Conference on Decision and Control. arXiv:2109.04742. Code.
Ozan, D.E., Iannelli A., Yin M., Smith R.S. (2021). Regularized Classification and Simulation of Bifurcation Regimes in Nonlinear Systems. IFAC Conference on Modelling, Identification and Control of Nonlinear Systems. PDF. Code.
Iannelli A., Yin M., Smith R.S. (2021). Experiment Design for Impulse Response Identification with Signal Matrix Models. IFAC Symposium on System Identification. arXiv:2012.08126. Code.
Yin M., Smith R.S. (2021). On Low-Rank Hankel Matrix Denoising. IFAC Symposium on System Identification. arXiv:2012.07433. Code.
Yin M., Iannelli A., Smith R.S. (2021). Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. Conference on Learning for Dynamics and Control, PMLR 144:1004-1014. arXiv:2012.04678. Code.
Yin M., Iannelli A., Khosravi M., Parsi A., Smith R.S. (2020). Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. IFAC World Congress. arXiv:2003.06653. Code.
Khosravi M., Yin M., Iannelli A., Parsi A., Smith R.S. (2020). Low-Complexity Identification by Sparse Hyperparameter Estimation. IFAC World Congress. PDF.
Khosravi M., Iannelli A., Yin M., Parsi A., Smith R.S. (2020). Regularized System Identification: A Hierarchical Bayesian Approach. IFAC World Congress. PDF.
Parsi A., Iannelli A., Yin M., Khosravi M., Smith R.S. (2020). Robust Adaptive Model Predictive Control with Worst-Case Cost. IFAC World Congress. arXiv:1911.08607.
Yin M., Chen Y., Lee K. H., Fu D. K., Tse Z. T. H., Kwok K. W. (2018). Dynamic Modeling and Characterization of the Core-XY Cartesian Motion System. IEEE International Conference on Real-time Computing and Robotics.

Theses

Yin M. (2024). Regularized and Nonparametric Approaches in System Identification and Data-Driven Control. ETH Zurich. PDF.
Yin M. (2018). Envelope Estimation and Protection of Innovative Control Effectors (ICE) Aircraft: A Probabilistic Approach. Delft University of Technology.