Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm

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 n...

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Bibliographic Details
Main Authors: Qibing Jin, Zeyu Wang
Format: Article
Language:English
Published: Hindawi-IET 2022-05-01
Series:IET Signal Processing
Subjects:
coloured heavy‐tailed noise
DE algorithm
EM algorithm
non‐linear system
non‐uniformly sampled
parameter estimation
Online Access:https://doi.org/10.1049/sil2.12090

Internet

https://doi.org/10.1049/sil2.12090

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