期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2016
卷号：13
期号：4
DOI：10.1177/1729881416658168
语种：English
出版社：SAGE Publications
摘要：In this article, a constraint factor is introduced into the hysteretic operator so that the hysteretic operator can pass through the origin in every minor coordinate system. Based on the hysteretic operator, an expanded input space is constructed. And then, it is proved that the mapping between the expanded input space and the output space contains only one-to-one mapping and multiple-to-one mapping, which can be identified using the traditional methods of neural networks. Finally, a neural network is employed to model hysteresis for the magnetostrictive sensors and actuators. Two experiments are implemented to validate the neural hysteresis model. The experimental results demonstrate that the proposed approach is effective.
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