A Variable Self-Tuning Horizon Mechanism for Generalized Dynamic Predictive Control on DC/DC Boost Converters Feeding CPLs
Author:
Affiliation:
1. Intelligent Autonomous Systems Laboratory, Shanghai University of Electric Power, Shanghai, China
2. Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, China
Funder
National Natural Science Foundation of China
Shanghai Rising-Star Program
Shanghai Pujiang Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/6245517/10091696/09964449.pdf?arnumber=9964449
Reference37 articles.
1. Improving the Stability of Cascaded DC/DC Converter Systems via Shaping the Input Impedance of the Load Converter With a Parallel or Series Virtual Impedance
2. Generalized Dynamic Predictive Control for Nonparametric Uncertain Systems With Application to Series Elastic Actuators
3. A Novel Stabilization Method of LC Input Filter With Constant Power Loads Without Load Performance Compromise in DC Microgrids
4. A Time-Varying Deep Reinforcement Model Predictive Control for DC Power Converter Systems
5. Review on Advanced Control Technologies for Bidirectional DC/DC Converters in DC Microgrids
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3. Adaptive backstepping controller design for DC/DC buck converter optimised by grey wolf algorithm;IET Energy Systems Integration;2023-04-19
4. Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters;IEEE Transactions on Circuits and Systems I: Regular Papers;2023
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