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math.OC2024
Distributed Optimization for Energy Grids: A Tutorial on ADMM and ALADIN
Lukas Lanza, Timm Faulwasser, Karl Worthmann
The ongoing transition towards energy and power systems dominated by a large number of renewable power injections to the distribution grid poses substantial challenges for system o…
math.OC2024
Reinforcement Learning for Docking Maneuvers with Prescribed Performance
Simon Gottschalk, Lukas Lanza, Karl Worthmann +1
We propose a two-component data-driven controller to safely perform docking maneuvers for satellites. Reinforcement Learning is used to deduce an optimal control policy based on me…
math.OC2024
On derivative-free sample-and-hold control with prescribed performance
Lukas Lanza
A feedback controller is proposed to perform output reference tracking with prescribed performance for nonlinear continuous-time systems of relative degree two. The controller is o…