Nonlinear Adaptive Control for Wind Energy Conversion Systems Based on
Quasi-ARX Neural Networks Model
By Mohammad Abu Jami'in
WORD COUNT 3602 TIME SUBMITTED 23-OCT-2018 03:32AM
PAPER ID 41373100
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Nonlinear Adaptive Control for Wind Energy Conversion Systems Based on Quasi-ARX Neural Networks Model
ORIGINALITY REPORT
PRIMARY SOURCES
www.iaeng.org
Int ernet
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.
Crossref
Sutrisno, Imam, Chi Che, and Jinglu Hu. "An improved adaptive switching control based on quasi-ARX neural
network for nonlinear systems", Artificial Life and Robotics, 2014.
Crossref
Lan Wang. "Nonlinear adaptive control using a fuzzy switching mechanism based on improved
quasi-ARX neural network", The 2010 International Joint Conference on Neural Networks (IJCNN), 07/2010
Crossref
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.ihmt.gov.tw
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www.actapress.com
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ace.ucv.ro
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Jinglu Hu. "A Hierarchical Method for Training Embedded Sigmoidal Neural Networks", Lecture Notes in Computer Science, 2001
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