Recurrent-neural-network-based adaptive-backstepping control for induction servomotors

@article{Lin2005RecurrentneuralnetworkbasedAC,
  title={Recurrent-neural-network-based adaptive-backstepping control for induction servomotors},
  author={Chih-Min Lin and Chun-Fei Hsu},
  journal={IEEE Transactions on Industrial Electronics},
  year={2005},
  volume={52},
  pages={1677-1684}
}
This study is concerned with the position control of an induction servomotor using a recurrent-neural-network (RNN)-based adaptive-backstepping control (RNABC) system. The adaptive-backstepping approach offers a choice of design tools for the accommodation of system uncertainties and nonlinearities. The RNABC system is comprised of a backstepping controller and a robust controller. The backstepping controller containing an RNN uncertainty observer is the principal controller, and the robust… CONTINUE READING
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