Power control of wind energy conversion system under multiple operating regimes with deep residual recurrent neural network: theory and experiment

DOI10.1504/IJCSM.2019.102703zbMath1458.93197MaRDI QIDQ2224374

Zhongli Shen, Zhishen Chen, Yi Zuo, Yu-Guang Niu, Qi-Yue Xie

Publication date: 3 February 2021

Published in: International Journal of Computing Science and Mathematics (Search for Journal in Brave)

zbMATH Keywords

power controlwind turbine systemdeep residual recurrent neural networkmultiple operating regimes

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Application models in control theory (93C95) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Networked control (93B70)

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