4 papers
Learning-based Funnel-MPC for output-constrained nonlinear systems
Thomas Berger, Carolin Kästner, Karl Worthmann
We exploit an adaptive control technique, namely funnel control, in order to establish both initial and recursive feasibility in Model Predictive Control (MPC) for output-constrain…
Towards multiobjective optimization and control of smart grids
Philipp Sauerteig, Karl Worthmann
The rapid uptake of renewable energy sources in the electricity grid leads to a demand in load shaping and flexibility. Energy storage devices such as batteries are a key element t…
Symmetry and Motion Primitives in Model Predictive Control
Kathrin Flaßkamp, Sina Ober-Blöbaum, Karl Worthmann
Symmetries, e.g. rotational and translational invariances for the class of mechanical systems, allow to characterize solution trajectories of nonlinear dynamical systems. Thus, the…
Model Predictive Control, Cost Controllability, and Homogeneity *
Jean-Michel Coron, Lars Grüne, Karl Worthmann
We are concerned with the design of Model Predictive Control (MPC) schemes such that asymptotic stability of the resulting closed loop is guaranteed even if the linearization at th…