43 citations · 54 across the 13 of their papers we have counts for
3 papers · 1 filter
Constrained Gaussian Process Learning for Model Predictive Control
Janine Matschek, Andreas Himmel, Kai Sundmacher +1
Many control tasks can be formulated as a tracking problem of a known or unknown reference signal. Examples are movement compensation in collaborative robotics, the synchronisation…
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery
Janine Matschek, Tim Gonschorek, Magnus Hanses +3
One of the key benefits of model predictive control is the capability of controlling a system proactively in the sense of taking the future system evolution into account. However,…
Estimation of consistent parameter sets for continuous-time nonlinear systems using occupation measures and LMI relaxations
Stefan Streif, Philipp Rumschinski, Didier Henrion +1
Obtaining initial conditions and parameterizations leading to a model consistent with available measurements or safety specifications is important for many applications. Examples i…