MODELLING PREISACH-TYPE HYSTERESIS NONLINEARITY USING NEURAL NETWORK

C. Li; Y. Tan

首页> 外文期刊>International Journal Of Modelling & Simulation >MODELLING PREISACH-TYPE HYSTERESIS NONLINEARITY USING NEURAL NETWORK

【24h】

MODELLING PREISACH-TYPE HYSTERESIS NONLINEARITY USING NEURAL NETWORK

机译：使用神经网络建模预激型迟滞非线性

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper presents a neural network (NN) based model for hysteresis nonlinearity with multivalued mapping. It is proved that the Preisach-type hysteresis can be transformed into a general continuous mapping such as one-to-one or multivalued-to-one mapping, which can be approximated by a universal approximator. The main advantage is that the proposed model is suitable to different working conditions by adjusting the weights of NNs. Finally, the derived model is verified by modelling the behavior of hysteresis involved in a piezoelectric actuator.

机译：本文提出了一种基于神经网络（NN）的磁滞非线性多值映射模型。事实证明，Preisach型磁滞可以转换为通用的连续映射，例如一对一或多值一对一映射，可以通过通用逼近器对其进行近似。主要优点是，通过调整神经网络的权重，提出的模型适合于不同的工作条件。最后，通过对压电致动器中涉及的磁滞行为进行建模来验证导出的模型。

著录项

来源
《International Journal Of Modelling & Simulation》 |2007年第3期|p.233-241|共9页
作者
C. Li; Y. Tan;
展开▼
作者单位

College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, 2100016, P. R. China;

展开▼
收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
hysteresis; preisach model; neural network;

机译：磁滞;preisach模型;神经网络;

相似文献

外文文献
中文文献
专利

1. Using neural networks in the identification of Preisach-type hysteresis models [J] . Adly A.A., Abd-El-Hafiz S.K. IEEE Transactions on Magnetics . 1998,第3期

机译：在识别Preisach型磁滞模型中使用神经网络
2. Neural network based identification of Preisach-type hysteresis in piezoelectric actuator using hysteretic operator [J] . Zhao XL, Tan YH Sensors and Actuators, A. Physical . 2006,第2期

机译：基于神经网络的磁滞算子在压电执行器中的Preisach型磁滞识别
3. A neural networks model for hysteresis nonlinearity [J] . Li CT, Tan YH Sensors and Actuators, A. Physical . 2004,第1期

机译：迟滞非线性的神经网络模型
4. Modeling Preisach Hysteresis Nonlinearities of Neural Networks [C] . Tong Zhao, Shulin Sui, Caihong Zhang World Congress on Intelligent Control and Automation . 2006

机译：模拟神经网络的Preisach滞后非线性
5. Implementation of Preisach-Krasnoselskii hysteresis model with the use of artificial neural networks [D] . Wang, Zhao 2004

机译：利用人工神经网络实现Preisach-Krasnoselskii滞后模型
6. Hysteresis Modeling and Compensation of Fast Steering Mirrors with Hysteresis Operator Based Back Propagation Neural Networks [O] . Kairui Cao, Guanglu Hao, Qingfeng Liu, 2021

机译：基于滞后轨道运算符的快速转向镜的滞后模型与补偿基于滞留神经网络
7. Preisach-type modeling of high-temperature superconducting hysteresis [O] . Hatem ElBidweihy 2016

机译：高温超导滞后的preisach型建模

MODELLING PREISACH-TYPE HYSTERESIS NONLINEARITY USING NEURAL NETWORK

摘要

著录项

相似文献

相关主题

期刊订阅