Linear State Estimation is a method in control theory that belongs to the class of state estimation techniques and is distinguished by its use of linearized models to reconstruct the internal states of a dynamic system from noisy or incomplete measurements under the assumption of local linearity.
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Maximum likelihood estimates of linear dynamic systems
Herbert E. Rauch, F. Tung, Charlotte Striebel · AIAA Journal · 1965 · 1.9K citations
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Centre National de la Recherche Scientifique
Paris, France
16 h-index
54 publications
2.3K citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
23 publications
5.5K citations
Stanford University
Stanford, United States
13 h-index
25 publications
3.7K citations
Tsinghua University
Beijing, China
12 h-index
27 publications
1.2K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
28 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
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25 publications
956 citations
University of Alberta
Edmonton, Canada
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19 publications
868 citations
University of California, Santa Barbara
Santa Barbara, United States
11 h-index
20 publications
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- IEEE Transactions on Automatic Control
106 publications · 11.5K citations
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- Automatica
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- IEEE Transactions on Power Systems
20 publications · 1.8K citations
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- International Journal of Control
30 publications · 1.1K citations
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- IEEE Transactions on Signal Processing
16 publications · 2.6K citations
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