Abstract
A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then, the number of Backlash operators and neurons of hidden layer are gotten through simulation. Compared with the normal BP network, the results show the improvement validity of the proposed Backlash neural network model for describing the hysteresis nonlinearity.
| Original language | English |
|---|---|
| Pages (from-to) | 226-230 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 27 |
| Issue number | SUPPL. 1 |
| Publication status | Published - May 2007 |
Keywords
- Backlash operator
- Hysteresis neural networks
- Hysteresis nonliearity
- Piezoceramics