2 papers
math.OC2019
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…
math.OC2019
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,…