Parameter Estimation of Power Electronic Converters with Physics-Informed Machine Learning

Keyphrases

• Parameter Estimation 100%
• Power Electronic Converters 100%
• Physics-informed Machine Learning 100%
• Power Electronics 66%
• Physical Model 33%
• Machine Learning System 33%
• Training Data 33%
• Dynamic Model 33%
• DC-DC 33%
• Buck Converter 33%
• Data-driven Approach 33%
• Training Accuracy 33%
• Parameter Estimation Method 33%
• Data Accuracy 33%
• Deep Neural Network 33%
• Typical Data 33%
• Machine Learning Based 33%
• Data Robustness 33%
• Domain Knowledge Representation 33%

Engineering

• Power Electronic Converter 100%
• Parameter Estimation 100%
• Learning System 100%
• Power Electronics 50%
• Buck Converter 25%
• Domain Knowledge 25%
• Physical Model 25%
• Dynamic Models 25%
• Deep Neural Network 25%

Chemical Engineering

• Learning System 100%
• Deep Neural Network 25%