Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material)
Schenke, Maximilian;Kirchgässner, Wilhelm;Wallscheid, Oliver
Description
Supplementary Material for IEEE-TII Transaction Article "Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept"
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Metrics Over Time
Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
66%
Source
Scholar Data Model
Keywords
Machine LearningActor-criticcontrol designcurrent controlfeedforward neural networksnonlinear control systemspermanent magnet motorsreinforcement learning