39 citations · 47 across the 5 of their papers we have counts for
5 papers
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
Daniel Weber, Maximilian Schenke, Oliver Wallscheid
Reinforcement learning (RL) is a promising, upcoming topic in automatic control applications. Where classical control approaches require a priori system knowledge, data-driven cont…
Non-Autoregressive vs Autoregressive Neural Networks for System Identification
Daniel Weber, Clemens Gühmann
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches. Autoregression, the usa…
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
Daniel Weber, Clemens Gühmann, Thomas Seel
Inertial-sensor-based attitude estimation is a crucial technology in various applications, from human motion tracking to autonomous aerial and ground vehicles. Application scenario…
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…
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
Henrik Bode, Stefan Heid, Daniel Weber +2
Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in conventional electricity grids and for providing power supply in remote areas.…