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A New Method to Identify the Preisach Distribution Function of Hysteresis

机译:确定滞后的Preisach分布函数的新方法

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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.
机译:本文提出了一种将最小二乘方法与树结构模糊推理系统相结合的新方法,以近似Preisach分布函数。首先,通过设计输入序列并测量输出,可以使用最小二乘法确定离散的Preisach度量。然后,可以使用树结构模糊推理系统获得Preisach函数,而无需任何特殊的平滑方法。因此,这种新方法对噪声不敏感,并且是Preisach函数的通用近似器。它收集了优点并克服了现有方法的不足。

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