Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Zuo, Junyi"'
We consider the robust filtering problem for a state-space model with outliers in correlated measurements. We propose a new robust filtering framework to further improve the robustness of conventional robust filters. Specifically, the measurement fit
Externí odkaz:
http://arxiv.org/abs/2011.13353
We consider state estimation for networked systems where measurements from sensor nodes are contaminated by outliers. A new hierarchical measurement model is formulated for outlier detection by integrating the outlier-free measurement model with a bi
Externí odkaz:
http://arxiv.org/abs/1909.10006
We consider the robust filtering problem for a nonlinear state-space model with outliers in measurements. To improve the robustness of the traditional Kalman filtering algorithm, we propose in this work two robust filters based on mixture correntropy
Externí odkaz:
http://arxiv.org/abs/1907.00307
Autor:
Zhang, Pingyao, Na, Wei, Zuo, Junyi, Wen, Jianlin, Huang, Zhenhui, Huang, Hao, Gao, Wengui, Qi, Xianjin, Zheng, Min, Wang, Hua
Publikováno v:
In Molecular Catalysis 1 March 2023 538
Publikováno v:
IEEE Access 6 (2018): 70794-70807
We consider the problem of robust estimation involving filtering and smoothing for nonlinear state space models which are disturbed by heavy-tailed impulsive noises. To deal with heavy-tailed noises and improve the robustness of the traditional nonli
Externí odkaz:
http://arxiv.org/abs/1809.02699
Publikováno v:
In Expert Systems With Applications 30 November 2022 207
Publikováno v:
In Molecular Catalysis June 2022 526
Publikováno v:
In Journal of the Franklin Institute May 2020 357(8):5058-5072
Publikováno v:
In Signal Processing October 2019 163:115-122
Akademický článek
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