58 citations · 99 across the 9 of their papers we have counts for
8 papers · 1 filter
Optimal energy conversion -- A port-Hamiltonian approach
Guanru Pan, Karl Worthmann, Manuel Schaller +1
This paper studies optimal energy conversion in port-Hamiltonian systems. We analyze state- and control-constrained finite-horizon optimal control problems that maximize energy con…
Uncertainty Propagation under Residual Disturbances: A Smart-Home Case Study
Guanru Pan, Dirk Reinhardt, Sebastien Gros +1
This paper presents a data-driven framework for uncertainty propagation under unmeasured or statistically unmodeled (unstructured) disturbances. We consider residual disturbances,…
A Stochastic Fundamental Lemma with Reduced Disturbance Data Requirements
Ruchuan Ou, Guanru Pan, Timm Faulwasser
Recently, the fundamental lemma by Willems et al. has been extended towards stochastic LTI systems subject to process disturbances. Using this lemma requires previously recorded da…
Distributionally robust uncertainty quantification via data-driven stochastic optimal control
Guanru Pan, Timm Faulwasser
This paper studies optimal control problems of unknown linear systems subject to stochastic disturbances of uncertain distribution. Uncertainty about the stochastic disturbances is…
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.…
On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Data-driven control based on the fundamental lemma by Willems et al. is frequently considered for deterministic LTI systems subject to measurement noise. However, besides measureme…