Physics-Informed Neural Network Model Predictive Control Research on Control Strategy of DC-DC Buck Converter
Author:
Affiliation:
1. Shanghai University of Electric Power,Shanghai,China
2. Shanghai Jiao Tong University,Shanghai,China
3. Nanyang Technological University Singapore,Singapore
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10532251/10532216/10532748.pdf?arnumber=10532748
Reference14 articles.
1. An Offset-Free Composite Model Predictive Control Strategy for DC/DC Buck Converter Feeding Constant Power Loads
2. Controller Design Automation for Power Electronics: A Model-Free Approach
3. Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter
4. Robust Stability Analysis of a DC/DC Buck Converter Under Multiple Parametric Uncertainties
5. A Novel Composite Nonlinear Controller for Stabilization of Constant Power Load in DC Microgrid
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