A neural model of hysteresis in amorphous materials and piezoelectric materials-Reference-Cited by-同舟云学术

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A neural model of hysteresis in amorphous materials and piezoelectric materials

Published:2014-06-20 Issue:2 Volume:116 Page:715-722
ISSN:0947-8396
Container-title:Applied Physics A
language:en
Short-container-title:Appl. Phys. A

Author:

Ma Lianwei,Shen Yu

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s00339-014-8528-7.pdf

Reference10 articles.

1. D.A. Ochoa, R. Perez, J.E. Garcia, Preisach modeling of nonlinear response in electrically biased zirconate titanate-based piezoceramics. Appl. Phys. 112(4), 1081–1088 (2013)

2. Q.Q. Fang, W.N. Wang, J.G. Li et al., The room-temperature ferromagnetism of defect-rich ZnMgO semiconductor thin films. Appl. Phys. 108(4), 871–876 (2012)

3. X. Zhao, Y. Tan, Modeling hysteresis and its inverse model using neural networks based on expanded input space method. IEEE Trans. Control Syst. Technol. 16(3), 484–490 (2008)

4. A. Sutor, S. Bi, R. Lerch, Validation of the rotational vector Preisach model with measurements and simulations of vectorial minor loops. Appl. Phys. 112(2), 269–273 (2013)

5. A. Sutor, S.J. Rupitsch, R. Lerch, A Preisach-based hysteresis model for magnetic and ferroelectric hysteresis. Appl. Phys. 100(2), 425–430 (2010)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A neural hysteresis model for magnetostrictive sensors and actuators;International Journal of Advanced Robotic Systems;2016-07-21

2. A Neural Hysteresis Model for Smart-Materials-Based Actuators;Intelligent Robotics and Applications;2016

3. Modeling hysteresis for piezoelectric actuators;Journal of Intelligent Material Systems and Structures;2015-06-30

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