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20182026
most citedTowards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

4 citations · 7 across the 5 of their papers we have counts for

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eess.SY2026

A Power Electronic Converter Control Framework Based on Graph Neural Networks -- An Early Proof-of-Concept

Darius Jakobeit, Oliver Wallscheid

Power electronic converter control is typically tuned per topology, limiting transfer across heterogeneous designs. This letter proposes a topology-agnostic meta-control framework…

eess.SY20221 cited

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…

eess.SY20204 cited

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.…

eess.SY2020

Data Set Description: Identifying the Physics Behind an Electric Motor -- Data-Driven Learning of the Electrical Behavior (Part I)

Sören Hanke, Oliver Wallscheid, Joachim Böcker

Two of the most important aspects of electric vehicles are their efficiency or achievable range. In order to achieve high efficiency and thus a long range, it is essential to avoid…

eess.SY2020

Data Set Description: Identifying the Physics Behind an Electric Motor -- Data-Driven Learning of the Electrical Behavior (Part II)

Sören Hanke, Oliver Wallscheid, Joachim Böcker

A data set was recorded to evaluate different methods for extracting mathematical models for a three-phase permanent magnet synchronous motor (PMSM) and a two-level IGBT inverter f…

eess.SY2019

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors

Anian Brosch, Sören Hanke, Oliver Wallscheid +1

The performance of model predictive controllers (MPC) strongly depends on the model quality. In the field of electric drive control, white-box (WB) modeling approaches derived from…