Stochastic System Identification
Stochastic System Identification is a system identification method that belongs to the class of identification techniques and specifically involves the estimation of dynamic models from observed data in the presence of random disturbances, where the distinguishing feature is the explicit incorporation of stochastic processes to characterize noise and uncertainty in the system's behavior.
527
Publications
38.1K
Citations
1K
Authors
458
Institutions
Publications per year
2017–2026
110
527
Analysis of recursive stochastic algorithms
Lennart Ljung · IEEE Transactions on Automatic Control · 1977 · 1.5K citations
1–5 of 527
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458
Jiangnan University
Wuxi, China
16 h-index
41 publications
4.4K citations
KU Leuven
Leuven, Belgium
13 h-index
25 publications
7.2K citations

Linköping University
Linköping, Sweden
11 h-index
18 publications
2.1K citations
Academy of Mathematics and Systems Science
Beijing, China
11 h-index
20 publications
1.2K citations
University of Patras
Pátrai, Greece
9 h-index
16 publications
439 citations

KTH Royal Institute of Technology
Stockholm, Sweden
9 h-index
16 publications
780 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
16 publications
838 citations
University of California, Irvine
Irvine, United States
8 h-index
8 publications
267 citations
1–8 of 458
46 publications · 5K citations
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36 publications · 4.5K citations
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MSSP · 26 publications · 1.9K citations
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17 publications · 662 citations
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18 publications · 2.7K citations
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