Study on Control Strategy for Photovoltaic Energy Systems Based on Recurrent Fuzzy Neural Networks
暂无分享,去创建一个
[1] Yakov Frayman,et al. A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes , 2002, Soft Comput..
[2] Chih-Min Lin,et al. Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings , 2004, IEEE Trans. Fuzzy Syst..
[3] Kuo-Ching Chiou,et al. Development and application of a novel radial basis function sliding mode controller , 2003 .
[4] Paul Puleston,et al. Power control of a photovoltaic array in a hybrid electric generation system using sliding mode techniques , 2001 .
[5] Weidong Xiao,et al. [IEEE 2004 IEEE 35th Annual Power Electronics Specialists Conference - Aachen, Germany (20-25 June 2004)] 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551) - A novel modeling method for photovoltaic cells , 2004 .
[6] Weidong Xiao,et al. A novel modeling method for photovoltaic cells , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).
[7] Suttichai Premrudeepreechacharn,et al. Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system , 2005 .
[8] D. Nichols,et al. An optimal design of a grid connected hybrid wind/photovoltaic/fuel cell system for distributed energy production , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..
[9] Faa-Jeng Lin,et al. Recurrent-Fuzzy-Neural-Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms , 2007, IEEE Transactions on Industrial Electronics.
[10] Weidong Xiao,et al. Topology Study of Photovoltaic Interface for Maximum Power Point Tracking , 2007, IEEE Transactions on Industrial Electronics.