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For: Lin FJ, Tan KH, Fang DY. Squirrel-cage induction generator system using hybrid wavelet fuzzy neural network control for wind power applications. Neural Comput Appl 2014. [DOI: 10.1007/s00521-014-1759-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Number Cited by Other Article(s)
1
Adaptive fuzzy-neural-network based on RBFNN control for active power filter. INT J MACH LEARN CYB 2018. [DOI: 10.1007/s13042-018-0792-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
2
Elsattar AA, Atallah AM, El Tantawy ESF. Direct torque control and direct power control with multilevel converters for variable speed wind turbines. 2016 EIGHTEENTH INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON) 2016. [DOI: 10.1109/mepcon.2016.7836934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
3
Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller. ENERGIES 2015. [DOI: 10.3390/en8076328] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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