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eess.SY2022★ 1 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.SY2020★ 4 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.…