Fuzzy control with fuzzy basis function neural network in magnetic bearing system

@article{Chiang2012FuzzyCW,
  title={Fuzzy control with fuzzy basis function neural network in magnetic bearing system},
  author={Huann-Keng Chiang and Chao-Ting Chu and Yong-Tang Jhou},
  journal={2012 IEEE International Symposium on Industrial Electronics},
  year={2012},
  pages={846-851}
}
The paper propose the fuzzy control with recurrent fuzzy basis function neural network (RFBFNN) height control of magnetic bearing system. The magnetic bearing is a very unstable nonlinear system. Fuzzy control need not accurate mathematical model to have good output response for nonlinear systems. However, the fuzzy control cannot guarantee the stability and convergence. Neural networks also need not a precise mathematical model to describe the nonlinear systems. Neural network training is… CONTINUE READING
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