A Lyapunov Based Switching Control toTrack 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 PowerPoint of WECSORIGINALITY REPORT

PRIMARY SOURCES

Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto."A Lyapunov based switching control to trackmaximum power point of WECS", 2016 International JointConference on Neural Networks (IJCNN), 2016Crossref

www.iaeng.orgInternet

www.lib.ncsu.eduInternet

Jami'in, Mohammad Abu, Imam Sutrisno, JingluHu, Norman Bin Mariun, and Mohd HamiruceMarhaban. "An adaptive predictive control based on a quasi-ARXneural network model", 2014 13th International Conference onControl Automation Robotics & Vision (ICARCV), 2014.Crossref

Tan, Kuang-Hsiung. "Squirrel Cage InductionGenerator System Using Wavelet Petri FuzzyNeural Network Control for Wind Power Applications", IEEETransactions on Power Electronics, 2015.Crossref

Jinglu Hu. "A Hierarchical Method for TrainingEmbedded Sigmoidal Neural Networks", LectureNotes in Computer Science, 2001Crossref

link.springer.comInternet

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Jami'in, Mohammad Abu, Imam Sutrisno, andJinglu Hu. "Maximum power tracking control for awind energy conversion system based on a quasi-ARX neuralnetwork model : Maximum Power Tracking Control for a WindEnergy Conversion", IEEJ Transactions on Electrical andElectronic Engineering, 2015.Crossref

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