Stability of the distributed Kalman filter using general random coefficients
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-020-2962-9.pdf
Reference34 articles.
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4. Deng Z L, Gao Y, Mao L, et al. New approach to information fusion steady-state Kalman filtering. Automatica, 2005, 41: 1695–1707
5. Battistelli G, Chisci L, Mugnai G, et al. Consensus-based linear and nonlinear filtering. IEEE Trans Automat Contr, 2015, 60: 1410–1415
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