Algorithm of Gaussian Sum Based Cubature Kalman Filter for Non-Gaussian Systems-Reference-Cited by-同舟云学术

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Algorithm of Gaussian Sum Based Cubature Kalman Filter for Non-Gaussian Systems

Published:2021-10-08 Issue: Volume: Page:352-363
ISSN:1876-1100
Container-title:Proceedings of 2021 Chinese Intelligent Automation Conference
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Author:

Qian Chen,Chen Qingwei,Song Chengying,Ji Caijuan,Pan Huikun

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6372-7_40

Reference15 articles.

1. Wang, L., Cheng, X.H.: Algorithm of Gaussian sum filter based on high-order UKF for dynamic state estimation. Int. J. Control Autom. Syst. 13(3), 652–661 (2015)

2. Qian, C., Li, S., Chen, Q.W., Guo, J., Yan, F.: MSGQF with application to SINS alignment. IET Sci. Meas. Technol. 14(5), 525–535 (2020)

3. Xue, W.C., Zhang, X.C., Sun, L., Fang, H.T.: Extended state filter based disturbance and uncertainty mitigation for nonlinear uncertain systems with application to fuel cell temperature control. IEEE Trans. Industr. Electron. 67(12), 10682–10692 (2020)

4. Huang, Y.L., Zhang, Y.G., Wu, Z.M., Li, N., Chambers, J.: A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices. IEEE Trans. Autom. Control 63(2), 594–601 (2018)

5. Zhang, T., Wang, J., Jin, B.N., Yao, L.: Application of improved fifth-degree cubature Kalman filter in the nonlinear initial alignment of strapdown inertial Navigation System. Rev. Sci. Instr. 90(1), 015111 (2019)

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