On a Stochastic Fundamental Lemma and Its Use for Data-Driven MPC. - Guanru Pan; Ruchuan Ou; Timm Faulwasser (CoRR, 2021)

Towards data-driven stochastic predictive control. - Guanru Pan; Ruchuan Ou; Timm Faulwasser (CoRR, 2022)

Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions. - Guanru Pan; Ruchuan Ou; Timm Faulwasser (L4DC, 2023)

NMPC in active subspaces: Dimensionality reduction with recursive feasibility guarantees. - Guanru Pan; Timm Faulwasser (Autom., 2023)

Data-Driven Multiple Shooting for Stochastic Optimal Control. - Ruchuan Ou; Guanru Pan; Timm Faulwasser (IEEE Control. Syst. Lett., 2023)

Distributionally Robust Uncertainty Quantification via Data-Driven Stochastic Optimal Control. - Guanru Pan; Timm Faulwasser (IEEE Control. Syst. Lett., 2023)

Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again. - Timm Faulwasser; Ruchuan Ou; Guanru Pan; Philipp Schmitz; Karl Worthmann (Annu. Rev. Control., 2023)

On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control. - Guanru Pan; Ruchuan Ou; Timm Faulwasser (IEEE Trans. Autom. Control., 2023)

Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems. - M. Batu Özmeteler; Deborah Bilgic; Guanru Pan; Alexander Koch 008; Timm Faulwasser (Eur. J. Control, 2024)

A Stochastic Fundamental Lemma with Reduced Disturbance Data Requirements. - Ruchuan Ou; Guanru Pan; Timm Faulwasser (CoRR, 2025)

On Data-Driven Stochastic Output-Feedback Predictive Control. - Guanru Pan; Ruchuan Ou; Timm Faulwasser (IEEE Trans. Autom. Control., 2025)