Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs

@article{Lin2001HybridSC,
  title={Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs},
  author={Faa-Jeng Lin and Rong-Jong Wai and Chun-Ming Hong},
  journal={IEEE transactions on neural networks},
  year={2001},
  volume={12 1},
  pages={68-90}
}
A hybrid supervisory control system using a recurrent fuzzy neural network (RFNN) is proposed to control the mover of a permanent magnet linear synchronous motor (PMLSM) servo drive for the tracking of periodic reference inputs. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMLSM. Then, a hybrid supervisory control system, which combines a supervisory control system and an intelligent control system, is proposed to control the mover of the PMLSM for… CONTINUE READING
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A Course in Fuzzy Systems and Control

L. X. Wang
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