Distributed Kalman Filtering is a distributed state estimation framework that extends the classical Kalman Filter by enabling multiple agents in a networked system to collaboratively estimate the global state through local computations and information exchange with neighboring agents.
337
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21.5K
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697
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294
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Publications per year
2017–2026
157
Publications
337
Distributed Kalman filtering for sensor networks
Reza Olfati‐Saber · 2007 · 1.6K citations
Distributed Kalman Filter with Embedded Consensus Filters
Reza Olfati‐Saber · 2006 · 1K citations
1–5 of 337
Authors
697
- LY
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1–5 of 697
Institutions
294
Beihang University
Beijing, China
16 h-index
50 publications
2K citations
Zhejiang University of Technology
Hangzhou, China
13 h-index
34 publications
2.5K citations
Beijing University of Posts and Telecommunications
Beijing, China
13 h-index
16 publications
654 citations
Heilongjiang University
Harbin, China
12 h-index
25 publications
1.1K citations
Southeast University
Nanjing, China
11 h-index
18 publications
979 citations
Beijing Institute of Technology
Beijing, China
9 h-index
27 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
16 publications
2K citations
University of California, Los Angeles
Los Angeles, United States
8 h-index
14 publications
3.3K citations
1–8 of 294
Venues
- IEEE Transactions on Automatic Control
18 publications · 2.1K citations
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- IEEE Transactions on Signal Processing
14 publications · 1.9K citations
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- International Journal of Robust and Nonlinear Control
IJRCEA · 12 publications · 269 citations
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- IEEE Transactions on Cybernetics
11 publications · 867 citations
11
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- Automatica
14 publications · 1K citations
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