Output Error Models
Output Error Models is a class of system identification models that belong to the broader category of dynamic models, distinguished by their explicit assumption that noise enters only at the output stage and not through the system dynamics, thereby separating model error from process disturbance.
156
Publications
6.3K
Citations
346
Authors
175
Institutions
Publications per year
2017–2026
34
Parents
156
Information theoretic bounds for compressed sensing
2010 · 160 citations
Decomposition based fast least squares algorithm for output error systems
Feng Ding · Signal Processing · 2012 · 148 citations
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175
Jiangnan University
Wuxi, China
12 h-index
26 publications
2.3K citations

Linköping University
Linköping, Sweden
6 h-index
11 publications
418 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
12 publications
492 citations

KTH Royal Institute of Technology
Stockholm, Sweden
5 h-index
10 publications
481 citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
583 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
9 publications
155 citations

Uppsala University
Uppsala, Sweden
4 h-index
5 publications
260 citations
The Ohio State University
Columbus, United States
4 h-index
8 publications
334 citations
1–8 of 175
8 publications · 514 citations
8
h-index
7 publications · 270 citations
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5 publications · 355 citations
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4 publications · 63 citations
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4 publications · 64 citations
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