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A neural model of hysteresis in amorphous materials and piezoelectric materials |
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| Authors: | Lianwei Ma Yu Shen |
| Affiliation: | 1. School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China 2. Department of Applied Physics, Zhejiang University of Science and Technology, Hangzhou, 310023, China |
| Abstract: | A new approach to constructing hysteretic operator (HO) is proposed in this paper. Based on the HO, the input space of neural networks is expanded from one-dimension to two-dimension and the multi-value mapping of hysteresis is transformed into a continuous mapping comprised of one-to-one mapping and multiple-to-one mapping. Based on the expanded input space, a neural network is employed to approximate hysteresis. The results of experimental examples suggest the proposed approach is effective. |
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