Learning and Outperforming the Model Predictive Control With a Linear ϵ-Support Vector Machine for Power Converter
Author:
Affiliation:
1. Department of Electrical and Computer Engineering and Technology, Minnesota State University, Mankato, MN, USA
Funder
Minnesota State University, Mankato
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10184152/10054581.pdf?arnumber=10054581
Reference21 articles.
1. Deep Learning-Based Long-Horizon MPC: Robust, High Performing, and Computationally Efficient Control for PMSM Drives
2. A Backpropagation Neural Network-Based Explicit Model Predictive Control for DC–DC Converters With High Switching Frequency
3. Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine
4. Deep Learning-Based Model Predictive Control for Resonant Power Converters
5. Pathwise coordinate optimization
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