Adaptive Identification
Adaptive Identification is a process identification method that dynamically adjusts its structure or parameters in real time to account for changes in system behavior, distinguishing itself from conventional identification techniques through its reliance on adaptive control principles to maintain accuracy in non-stationary environments.
496
Publications
26.9K
Citations
1.1K
Authors
494
Institutions
Publications per year
2017–2026
104
496
Analysis of recursive stochastic algorithms
Lennart Ljung · IEEE Transactions on Automatic Control · 1977 · 1.5K citations
Sparse LMS for system identification
Yilun Chen, Yuantao Gu, Alfred O. Hero · 2009 · 651 citations
Adaptive Nonlinear System Identification with Echo State Networks
Herbert Jaeger · 2002 · 533 citations
1–5 of 496
1.1K
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494

Johns Hopkins University
Baltimore, United States
10 h-index
20 publications
779 citations
Yale University
New Haven, United States
10 h-index
19 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
24 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
10 h-index
25 publications
1.4K citations
University of Southern California
Los Angeles, United States
9 h-index
19 publications
730 citations
Tsinghua University
Beijing, China
9 h-index
17 publications
1.3K citations
University of California, Irvine
Irvine, United States
8 h-index
8 publications
352 citations

Australian National University
Canberra, Australia
8 h-index
14 publications
453 citations
1–8 of 494
34 publications · 4.4K citations
24
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25 publications · 1.8K citations
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19 publications · 1.5K citations
17
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11 publications · 666 citations
11
h-index
10 publications · 259 citations
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