Cargando…
Design Method for a Higher Order Extended Kalman Filter Based on Maximum Correlation Entropy and a Taylor Network System
This paper proposes one new design method for a higher order extended Kalman filter based on combining maximum correlation entropy with a Taylor network system to create a nonlinear random dynamic system with modeling errors and unknown statistical properties. Firstly, the transfer function and meas...
Autores principales: | Wang, Qiupeng, Sun, Xiaohui, Wen, Chenglin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434207/ https://www.ncbi.nlm.nih.gov/pubmed/34502754 http://dx.doi.org/10.3390/s21175864 |
Ejemplares similares
-
Design Method of High-Order Kalman Filter for Strong Nonlinear System Based on Kronecker Product Transform
por: Liu, Xiaohan, et al.
Publicado: (2022) -
Maximum likelihood-based extended Kalman filter for COVID-19 prediction
por: Song, Jialu, et al.
Publicado: (2021) -
Double Extended Kalman Filter Algorithm Based on Weighted
Multi-Innovation and Weighted Maximum Correlation Entropy Criterion
for Co-Estimation of Battery SOC and Capacity
por: Lei, Mingdong, et al.
Publicado: (2023) -
A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts
por: Onken, Arno, et al.
Publicado: (2012) -
Student’s t-Kernel-Based Maximum Correntropy Kalman Filter
por: Huang, Hongliang, et al.
Publicado: (2022)