Study on control strategy for photovoltaic energy systems based on recurrent fuzzy neural networks

5th International Conference on Natural Computation, ICNC 2009

Volumn 2, Issue , 2009, Pages 282-286

  Li, Chun Hua ^a   Jing, Xu ^a   Zhu, Xin Jian ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL ALGORITHMS; CONTROL STRATEGIES; ENERGY SYSTEMS; FUZZY LOGIC CONTROL; MAXIMUM POWER POINT; PHOTOVOLTAIC ENERGY SYSTEMS; PV ARRAYS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RECURRENT FUZZY NEURAL NETWORK; SIMULATION RESULT; SMALL FLUCTUATION; STEADY STATE; TRACKING ERRORS; TRACKING PERFORMANCE;

COMPUTATIONAL EFFICIENCY; FUZZY CONTROL; FUZZY LOGIC; LEARNING ALGORITHMS; RADIAL BASIS FUNCTION NETWORKS; RECURRENT NEURAL NETWORKS; SYNCHRONOUS MOTORS;

FUZZY NEURAL NETWORKS;

EID: 77950609616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2009.286     Document Type: Conference Paper

References (9)

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