Paper Title:
A New Method to Identify the Preisach Distribution Function of Hysteresis
  Abstract

In this paper, a new method which combines the least square method with Tree-Structured fuzzy inference system is presented to approximate the Preisach distribution function. Firstly, by devising the input sequence and measure the output, discrete Preisach measure can be identified by the use of the least squares method. Then, the Preisach function can be obtained with Tree-Structured fuzzy inference system without any special smoothing means. So, this new method is not sensitive to noise, and is a universal approximator of the Preisach function. It collect the merit and overcome the deficiency of the existing methods.

  Info
Periodical
Materials Science Forum (Volumes 475-479)
Main Theme
Edited by
Z.Y. Zhong, H. Saka, T.H. Kim, E.A. Holm, Y.F. Han and X.S. Xie
Pages
2107-2110
DOI
10.4028/www.scientific.net/MSF.475-479.2107
Citation
F. Li, J. Q. Mao, H. S. Ding, W. B. Zhang, H. B. Xu, C. B. Jiang, "A New Method to Identify the Preisach Distribution Function of Hysteresis", Materials Science Forum, Vols. 475-479, pp. 2107-2110, 2005
Online since
January 2005
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Price
$32.00
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