A Nonlinear Self-recognition Self-calibration Kalman Filtering Method

A Nonlinear Self-recognition Self-calibration Kalman Filtering Method

In view of the strong nonlinearity of state equations and the influence of unknown inputs (systematic errors) in deep space exploration, guidance and control, and fault diagnosis, a nonlinear self-recognition self-calibration filtering method was proposed. According to the rank sampling and Sigma po...

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Bibliographic Details
Main Authors: FU Huimin, YANG Haifeng, WEN Xinlei
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2019-01-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
nonlinear filtering
rank sampling
Sigma points sampling
adaptive filter
fault diagnosis
guidance and control
deep space exploration
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.002
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