58 citations · 99 across the 9 of their papers we have counts for
5 papers · 1 filter
Towards data-driven stochastic predictive control
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Data-driven predictive control based on the fundamental lemma by Willems et al. is frequently considered for deterministic LTI systems subject to measurement noise. However, little…
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions
Guanru Pan, Ruchuan Ou, Timm Faulwasser
The paper investigates data-driven output-feedback predictive control of linear systems subject to stochastic disturbances. The scheme relies on the recursive solution of a suitabl…
On Data-Driven Stochastic Output-Feedback Predictive Control
Guanru Pan, Ruchuan Ou, Timm Faulwasser
The fundamental lemma by Jan C. Willems and co-authors enables the representation of all input-output trajectories of a linear time-invariant system by measured input-output data.…
NMPC in Active Subspaces: Dimensionality Reduction with Recursive Feasibility Guarantees
Guanru Pan, Timm Faulwasser
Dimensionality reduction of decision variables is a practical and classic method to reduce the computational burden in linear and Nonlinear Model Predictive Control (NMPC). Availab…
Behavioral Theory for Stochastic Systems? A Data-driven Journey from Willems to Wiener and Back Again
Timm Faulwasser, Ruchuan Ou, Guanru Pan +2
The fundamental lemma by Jan C. Willems and co-workers, which is deeply rooted in behavioral systems theory, has become one of the supporting pillars of the recent progress on data…