Distributed Kalman Filtering Over Massive Data Sets: Analysis Through Large Deviations of Random Riccati Equations-Reference-Cited by-同舟云学术

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Distributed Kalman Filtering Over Massive Data Sets: Analysis Through Large Deviations of Random Riccati Equations

Published:2015-03 Issue:3 Volume:61 Page:1351-1372
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Li Di^ORCID,Kar Soummya,Moura Jose M. F.,Poor H. Vincent,Cui Shuguang

Funder

DoD

NSF

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://ieeexplore.ieee.org/ielaam/18/7041268/7005535-aam.pdf

Cited by 34 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. Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning;IEEE Transactions on Information Theory;2024-01

2. Distributed Kalman Filtering Through Trace Proximity;IEEE Transactions on Automatic Control;2022-09

3. On observability and optimal gain design for distributed linear filtering and prediction;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

4. A Robust Time-Varying Riccati-Based Control for Uncertain Nonlinear Dynamical Systems;Journal of Dynamic Systems, Measurement, and Control;2022-07-19

5. Communication-protocol-based distributed filtering for general systems over sensor networks: developments and challenges;International Journal of General Systems;2022-03-27

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