Publications

Google Scholar page

Preprints

• Abdalmoaty M., Miller J., Yin M., Smith R.S. (2023). Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization. arXiv:2312.15722.

• Yin M., Iannelli A., Smith R.S. (2023). Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening. arXiv:2312.02758.

• Chen R., Srivastava A., Yin M., Smith R.S. (2023). Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. arXiv:2311.09019.

• Srivastava A., Yin M., Iannelli A., Smith R.S. (2023). A Dual System-Level Parameterization for Identification from Closed-Loop Data. arXiv:2304.02379.

Journals

• 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.

• 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

• 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.. (2018). Envelope Estimation and Protection of Innovative Control Effectors (ICE) Aircraft: A Probabilistic Approach. Delft University of Technology.