A supervisory fuzzy neural network control system for tracking periodic inputs

@article{Lin1999ASF,
  title={A supervisory fuzzy neural network control system for tracking periodic inputs},
  author={Faa-Jeng Lin and Wen-Jyi Hwang and Rong-Jong Wai},
  journal={IEEE Trans. Fuzzy Systems},
  year={1999},
  volume={7},
  pages={41-52}
}
A supervisory fuzzy neural network (FNN) control system is designed to track periodic reference inputs in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive with a supervisory FNN position controller. The supervisory FNN controller comprises a supervisory controller, which is designed to stabilize the system states around a defined bound region and an FNN sliding-mode controller, which combines the advantages of the sliding-mode control with… CONTINUE READING

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