Frequency domain subspace identification of fractional order systems using time domain data with outliers
Z. Y. Li,Y. H. Wei,J. C. Wang,Y. T. Deng,J. L. Wang and Y. Wang
刊名Asian Journal of Control
2020
页码11
ISSN号1561-8625
DOI10.1002/asjc.2370
英文摘要This paper focuses on the identification of the multiple-input multiple-output commensurate fractional order systems. Different from the assumption of known frequency domain data and prior information about noise in the general frequency domain identification algorithm, the reliable frequency domain data is measured in this paper by designing special excitation signals. Then, in order to suppress the impact of noise, the data used in algorithm are truncated from the low frequency band. In addition, this paper considers the case where the sampling data are disturbed by outliers, and a matrix decomposition method with threshold value is developed to eliminate the influence of outliers. After that, the parameters of the system to be identified are estimated by the frequency domain subspace identification method. The validity of the proposed method is demonstrated by an illustrative numerical example.
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语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/64537]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Z. Y. Li,Y. H. Wei,J. C. Wang,Y. T. Deng,J. L. Wang and Y. Wang. Frequency domain subspace identification of fractional order systems using time domain data with outliers[J]. Asian Journal of Control,2020:11.
APA Z. Y. Li,Y. H. Wei,J. C. Wang,Y. T. Deng,J. L. Wang and Y. Wang.(2020).Frequency domain subspace identification of fractional order systems using time domain data with outliers.Asian Journal of Control,11.
MLA Z. Y. Li,Y. H. Wei,J. C. Wang,Y. T. Deng,J. L. Wang and Y. Wang."Frequency domain subspace identification of fractional order systems using time domain data with outliers".Asian Journal of Control (2020):11.
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