Adaptive State Estimation
Adaptive State Estimation is a state estimation method that dynamically adjusts its model or parameters in response to changes in system dynamics or noise characteristics to maintain optimal estimation accuracy.
275
Publications
12.3K
Citations
781
Authors
368
Institutions
Publications per year
2017–2026
94
Parents
275
1–5 of 275
781
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368

Centre National de la Recherche Scientifique
Paris, France
10 h-index
18 publications
366 citations
Virginia Tech
Blacksburg, United States
7 h-index
11 publications
595 citations

Beijing Institute of Technology
Beijing, China
7 h-index
19 publications
2.1K citations

Xi'an Jiaotong University
Xi'an, China
7 h-index
24 publications
804 citations
The University of Texas at Austin
Austin, United States
6 h-index
7 publications
756 citations
Southwest University of Science and Technology
Mianyang, China
5 h-index
17 publications
587 citations
University of California San Diego
San Diego, United States
5 h-index
7 publications
544 citations

Southeast University
Nanjing, China
5 h-index
13 publications
651 citations
1–8 of 368
17 publications · 1.5K citations
17
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8 publications · 612 citations
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7 publications · 209 citations
7
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6 publications · 382 citations
6
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MSSP · 5 publications · 423 citations
5
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1–5