73 citations · 223 across the 16 of their papers we have counts for
6 papers · 1 filter
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation
Daniel Weber, Clemens Gühmann, Thomas Seel
Inertial measurement units are commonly used to estimate the attitude of moving objects. Numerous nonlinear filter approaches have been proposed for solving the inherent sensor fus…
A Kernel Two-sample Test for Dynamical Systems
Friedrich Solowjow, Dominik Baumann, Christian Fiedler +3
Evaluating whether data streams are drawn from the same distribution is at the heart of various machine learning problems. This is particularly relevant for data generated by dynam…
Iterative learning control in prosumer-based microgrids with hierarchical control
Lia Strenge, Xiaohan Jing, Ruth Boersma +5
Power systems are subject to fundamental changes due to the increasing infeed of renewable energy sources. Taking the accompanying decentralization of power generation into account…
Sparse Magnetometer-free Inertial Motion Tracking -- A Condition for Observability in Double Hinge Joint Systems
Karsten Eckhoff, Manon Kok, Sergio Lucia +1
Inertial measurement units are commonly used in a growing number of application fields to track or capture motions of kinematic chains, such as human limbs, exoskeletons or robotic…
Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation
Michael Meindl, Fabio Molinari, Jörg Raisch +1
Iterative Learning Control (ILC) schemes can guarantee properties such as asymptotic stability and monotonic error convergence, but do not, in general, ensure adherence to output c…
Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints
Dustin Lehmann, Daniel Laidig, Raphael Deimel +1
In motion tracking of connected multi-body systems Inertial Measurement Units (IMUs) are used in a wide variety of applications, since they provide a low-cost easy-to-use method fo…