State Estimation is the process of inferring the internal state of a dynamic system from noisy and incomplete measurements using probabilistic or deterministic methods to achieve accurate and consistent representation of the system’s current condition.
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2017–2026
8.5K
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26.9K
System identification—Theory for the user
Naresh K. Sinha · Automatica · 1989 · 9.2K citations
Unscented Filtering and Nonlinear Estimation
Simon Julier, Jeffrey Uhlmann · Proceedings of the IEEE · 2004 · 6.5K citations
Computing, Data Science, Forecasting +14
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87
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Beijing Institute of Technology
Beijing, China
90 h-index
838 publications
78.4K citations
Centre National de la Recherche Scientifique
Paris, France
87 h-index
1.6K publications
72.3K citations
Harbin Institute of Technology
Harbin, China
86 h-index
997 publications
61.3K citations
Jiangnan University
Wuxi, China
82 h-index
676 publications
40.2K citations
Brunel University of London
London, United Kingdom
81 h-index
362 publications
28.1K citations
Tsinghua University
Beijing, China
80 h-index
933 publications
54.3K citations
Massachusetts Institute of Technology
Cambridge, United States
79 h-index
459 publications
38.5K citations
University of California, Berkeley
Berkeley, United States
69 h-index
389 publications
48.1K citations
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Venues
- IEEE Transactions on Automatic Control
1.4K publications · 142.9K citations
177
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- Automatica
856 publications · 95K citations
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- IEEE Transactions on Industrial Electronics
395 publications · 40.3K citations
119
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- IEEE Transactions on Signal Processing
606 publications · 45K citations
107
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- IEEE Transactions on Power Systems
479 publications · 40K citations
107
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