Hysteresis modeling using neural networks

Xiang Dong Liu; Chun Bo Xiu; Li Li; Cheng Liu

Hysteresis modeling using neural networks

Xiang Dong Liu^*, Chun Bo Xiu, Li Li, Cheng Liu

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.

Original language	English
Pages (from-to)	106-108
Number of pages	3
Journal	Yadian Yu Shengguang/Piezoelectrics and Acoustooptics
Volume	29
Issue number	1
Publication status	Published - Feb 2007

Keywords

Hysteresis
Modeling
Neural networks
Piezoelectric ceramic

Cite this

Liu, X. D., Xiu, C. B., Li, L., & Liu, C. (2007). Hysteresis modeling using neural networks. Yadian Yu Shengguang/Piezoelectrics and Acoustooptics, 29(1), 106-108.

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abstract = "A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.",

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author = "Liu, {Xiang Dong} and Xiu, {Chun Bo} and Li Li and Cheng Liu",

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AU - Liu, Xiang Dong

AU - Xiu, Chun Bo

AU - Li, Li

AU - Liu, Cheng

PY - 2007/2

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N2 - A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.

AB - A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.

KW - Hysteresis

KW - Modeling

KW - Neural networks

KW - Piezoelectric ceramic

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M3 - Article

AN - SCOPUS:34047235410

SN - 1004-2474

VL - 29

SP - 106

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JF - Yadian Yu Shengguang/Piezoelectrics and Acoustooptics

IS - 1

ER -

Hysteresis modeling using neural networks

Abstract

Keywords

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