Stochastic State Estimation is a state estimation framework that belongs to the class of probabilistic inference methods, distinguished by its explicit modeling of uncertainties in system dynamics and measurements through stochastic processes to compute the probability distribution of the system's internal state.
737
Publications
40K
Citations
1.4K
Authors
547
Institutions
Publications per year
2017–2026
225
Parents
Publications
737
1–5 of 737
Authors
1.4K
- ZW
41
h-index
- HD
18
h-index
- FE
14
h-index
- LSLing Shi
Hong Kong University of Science and Technology, Hong Kong SAR China
14 publications · 962 citations
13
h-index
- JL
12
h-index
1–5 of 1.4K
Institutions
547
Brunel University of London
London, United Kingdom
40 h-index
69 publications
4.9K citations
King Abdulaziz University
Jeddah, Saudi Arabia
22 h-index
42 publications
2.8K citations
Massachusetts Institute of Technology
Cambridge, United States
19 h-index
36 publications
5.8K citations
Shandong University of Science and Technology
Qingdao, China
19 h-index
30 publications
1.5K citations
Southeast University
Nanjing, China
18 h-index
29 publications
1.4K citations
Northeast Petroleum University
Daqing, China
18 h-index
34 publications
2.2K citations
Donghua University
Shanghai, China
14 h-index
26 publications
2K citations
The University of Melbourne
Melbourne, Australia
14 h-index
23 publications
854 citations
1–8 of 547
Venues
- IEEE Transactions on Automatic Control
78 publications · 8.3K citations
41
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- Automatica
52 publications · 5.7K citations
33
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- IEEE Transactions on Neural Networks and Learning Systems
19 publications · 1.9K citations
18
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- Neurocomputing
22 publications · 876 citations
17
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- IEEE Transactions on Signal Processing
17 publications · 1.2K citations
15
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1–5