9 citations · 13 across the 4 of their papers we have counts for
4 papers
Autonomous Golf Putting with Data-Driven and Physics-Based Methods
Annika Junker, Niklas Fittkau, Julia Timmermann +1
We are developing a self-learning mechatronic golf robot using combined data-driven and physics-based methods, to have the robot autonomously learn to putt the ball from an arbitra…
Adaptive Koopman-Based Models for Holistic Controller and Observer Design
Annika Junker, Keno Pape, Julia Timmermann +1
We present a method to obtain a data-driven Koopman operator-based model that adapts itself during operation and can be straightforwardly used for the controller and observer desig…
Learning Data-Driven PCHD Models for Control Engineering Applications
Annika Junker, Julia Timmermann, Ansgar Trächtler
The design of control engineering applications usually requires a model that accurately represents the dynamics of the real system. In addition to classical physical modeling, powe…
Data-Driven Models for Control Engineering Applications Using the Koopman Operator
Annika Junker, Julia Timmermann, Ansgar Trächtler
Within this work, we investigate how data-driven numerical approximation methods of the Koopman operator can be used in practical control engineering applications. We refer to the…