2021
DOI: 10.1049/sil2.12090
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Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm

Abstract: The problems of inconsistent data sampling frequency, outliers, and coloured noise often exist in system identification, resulting in unsatisfactory identification results. In this study, a novel identification method of input non‐uniform sampling Wiener model with a coloured heavy‐tailed noise is proposed. The lifted Wiener model with coloured noise and outlier value disturbed is constructed. Under the expectation‐maximisation (EM) algorithm framework, the student's t‐distribution is introduced to model the c… Show more

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Cited by 2 publications
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