Grey Box Identification of Fractional-order System Models from Frequency Domain Data

A. Tepljakov, E. Petlenkov, J. Belikov
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Abstract

In the following paper, the grey box system identification method is applied to the problem of fractional-order model identification from available frequency domain data. Oftentimes, this is the only feasible approach in case of industrial system identification where the capacity to perform time domain experiments is limited due to associated expenses. In this work, we comment on the potential of this approach and investigate the model parameter estimation method based on frequency domain data. Then, the implementation of the method in FOMCON toolbox for MATLAB is described. Finally, the resulting application is validated on the basis of a relevant academic example.
基于频域数据的分数阶系统模型灰盒辨识
本文将灰盒系统识别方法应用于从频域数据中识别分数阶模型的问题。通常,这是在工业系统识别的情况下唯一可行的方法,其中执行时域实验的能力由于相关费用而受到限制。在这项工作中,我们评论了这种方法的潜力,并研究了基于频域数据的模型参数估计方法。然后,描述了该方法在MATLAB的FOMCON工具箱中的实现。最后,通过一个相关的学术实例验证了所得到的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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