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Disturbance Observer-Based Adaptive Current Control With Self-Learning Ability to Improve the Grid-Injected Current for $LCL$ -Filtered Grid-Connected Inverter.
Jiahao Liu
Weimin Wu
Henry Shu-Hung Chung
Frede Blaabjerg
Published in:
IEEE Access (2019)
Keyphrases
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database
genetic algorithm
reinforcement learning
data sets
databases
learning algorithm
multi agent
artificial neural networks
control system
adaptive control