A Novel Fitting H-Infinity Kalman Filter for Nonlinear Uncertain Discrete-Time Systems Based on Fitting Transformation
The classical Kalman-based filtering algorithm, such as extended Kalman filter or unscented Kalman filter, commonly assumes that the accurate system model or precise noise statistics is known for using. Hence, these filters are not robust estimation to practical systems and always with poor stabilit...
Main Authors: | Juan Xia, Shesheng Gao, Yongmin Zhong, Jiahao Zhang, Chengfan Gu, Yang Liu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8935212/ |
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