Adaptive nonlinear Kalman filters based on credibility theory with noise correlation-Reference-Cited by-同舟云学术

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Adaptive nonlinear Kalman filters based on credibility theory with noise correlation

Published:2024-06 Issue:6 Volume:37 Page:232-243
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

GE Quanbo,SONG Zihao,ZHU Bingtao,ZHANG Bingjun

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China

Qinglan Project of Jiangsu Province of China

Publisher

Elsevier BV

Reference22 articles.

1. Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol;Geng;IEEE/CAA J Autom Sin,2022

2. Extended Kalman filtering in state estimation systems with malicious attacks;Zhou;Acta Automatica Sinica,2020

3. SINS/GNSS integrated navigation system based on maximum versoria filter;Zhao;Chin J Aeronaut,2022

4. Design of on-board calibration methods for a digital Sun sensor based on Levenberg–Marquardt algorithm and Kalman filters;Rahdan;Chin J Aeronaut,2020

5. Performance evaluation of UKF-based nonlinear filtering;Xiong;Autom J IFAC,2006

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Finite-time trajectory tracking control for unmanned ground vehicle based on finite-time disturbance observer;Journal of the Franklin Institute;2024-11

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