1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SY2023
Stochastic Model Predictive Control using Initial State and Variance Interpolation
Henning Schlüter, Frank Allgöwer
We present a Stochastic Model Predictive Control (SMPC) framework for linear systems subject to Gaussian disturbances. In order to avoid feasibility issues, we employ a recent init…
eess.SY2022★ 1 cited
Stochastic Model Predictive Control using Initial State Optimization
Henning Schlüter, Frank Allgöwer
We propose a stochastic MPC scheme using an optimization over the initial state for the predicted trajectory. Considering linear discrete-time systems under unbounded additive stoc…
eess.SY2019
Event-triggered Learning for Linear Quadratic Control
Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe
When models are inaccurate, the performance of model-based control will degrade. For linear quadratic control, an event-triggered learning framework is proposed that automatically…