An improved recursive non-linear dynamic data reconciliation for non-linear state estimation subject to bound constraints
Author:
Funder
AICTE-RPS
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12572-023-00326-7.pdf
Reference25 articles.
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2. Gelb, A.O.: Applied optimal estimation, Cambridge. MIT Press, Mass (1974)
3. Julier, S.J., Uhlmann, J.K.: Unscented filtering and non-linear estimation. Proc. IEEE 92(3), 401–422 (2004)
4. Evenson, G.: The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn. 53, 343–367 (2003)
5. Arulampalam, S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online non-linear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)
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