Online System Identification
Online System Identification is a system identification method that continuously estimates model parameters in real time from streaming data, distinguishing itself from batch or offline approaches by enabling adaptive updates as new input-output observations become available.
508
Publications
25.2K
Citations
1.4K
Authors
524
Institutions
Publications per year
2017–2026
182
Variants
Real-time System Identification
508
Adaptive Nonlinear System Identification with Echo State Networks
Herbert Jaeger · 2002 · 533 citations
1–5 of 508
1.4K
7
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6
h-index
Missouri University of Science and Technology, United States
6 publications · 191 citations
6
h-index
1–5 of 1.4K
524

Centre National de la Recherche Scientifique
Paris, France
17 h-index
37 publications
1.8K citations
Technical University of Munich
Munich, Germany
12 h-index
29 publications
956 citations
Tsinghua University
Beijing, China
12 h-index
43 publications
2.3K citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
17 publications
1.1K citations

South China University of Technology
Guangzhou, China
8 h-index
14 publications
1K citations

Beijing Institute of Technology
Beijing, China
8 h-index
19 publications
1.5K citations
Missouri University of Science and Technology
Rolla, United States
7 h-index
12 publications
279 citations

Delft University of Technology
Delft, The Netherlands
7 h-index
14 publications
421 citations
1–8 of 524
23 publications · 2.5K citations
20
h-index
16 publications · 896 citations
15
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16 publications · 852 citations
14
h-index
12 publications · 763 citations
12
h-index
10 publications · 502 citations
10
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1–5