Modeling Hysteresis and Its Inverse Model Using Neural Networks Based on Expanded Input Space Method

@article{Zhao2008ModelingHA,
  title={Modeling Hysteresis and Its Inverse Model Using Neural Networks Based on Expanded Input Space Method},
  author={Xinlong Zhao and Yonghong Tan},
  journal={IEEE Transactions on Control Systems Technology},
  year={2008},
  volume={16},
  pages={484-490}
}
A neural network-based approach of identification for hysteresis and its inverse model is proposed. In this method, a hysteretic operator is proposed to extract the change tendency of hysteresis. Then, an expanded input space is constructed to transform the multivalued mapping into one-to-one mapping so that the neural networks are capable of implementing… CONTINUE READING