A Lyapunov Based Switching Control to Track Maximum Power Point of WECS
By Mohammad Abu Jami'in
WORD COUNT 4530 TIME SUBMITTED 23-OCT-2018 03:45AM
PAPER ID 41373439
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A Lyapunov Based Switching Control to Track Maximum Power Point of WECS
ORIGINALITY REPORT
PRIMARY SOURCES
Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto.
"A Lyapunov based switching control to track
maximum power point of WECS", 2016 International Joint Conference on Neural Networks (IJCNN), 2016
Crossref
www.iaeng.org
Int ernet
www.lib.ncsu.edu
Int ernet
Jami'in, Mohammad Abu, Imam Sutrisno, Jinglu Hu, Norman Bin Mariun, and Mohd Hamiruce
Marhaban. "An adaptive predictive control based on a quasi-ARX neural network model", 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014.
Crossref
Tan, Kuang-Hsiung. "Squirrel Cage Induction Generator System Using Wavelet Petri Fuzzy
Neural Network Control for Wind Power Applications", IEEE Transactions on Power Electronics, 2015.
Crossref
Jinglu Hu. "A Hierarchical Method for Training Embedded Sigmoidal Neural Networks", Lecture Notes in Computer Science, 2001
Crossref
link.springer.com
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Jami'in, Mohammad Abu, Imam Sutrisno, and Jinglu Hu. "Maximum power tracking control for a
wind energy conversion system based on a quasi-ARX neural network model : Maximum Power Tracking Control for a Wind Energy Conversion", IEEJ Transactions on Electrical and
Electronic Engineering, 2015.
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