Wiener Model Identification
Wiener Model Identification is a methodological framework within nonlinear system identification that distinguishes itself by structuring a dynamic system as a cascade of a linear time-invariant subsystem followed by a static nonlinear function to model input-output behavior.
240
Publications
10.9K
Citations
482
Authors
219
Institutions
Publications per year
2017–2026
49
Parents
240
A blind approach to the Hammerstein–Wiener model identification
Er‐Wei Bai · Automatica · 2002 · 296 citations
Engineering, Electrical Engineering, Stochastic Modeling +10
Recursive prediction error identification using the nonlinear wiener model
Torbjörn Wigren · Automatica · 1993 · 281 citations
Farshid Naseri, Erik Schaltz, Daniel‐Ioan Stroe et al. · IEEE Transactions on Industrial Electronics · 2021 · 262 citations · Full text
Engineering, Electrical Engineering, Systems Engineering +17
1–5 of 240
482
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219

Uppsala University
Uppsala, Sweden
12 h-index
24 publications
856 citations
Vrije Universiteit Brussel
Brussels, Belgium
10 h-index
20 publications
749 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
16 publications
730 citations
Jiangnan University
Wuxi, China
8 h-index
20 publications
758 citations
University of Iowa
Iowa City, United States
7 h-index
12 publications
911 citations
Academy of Mathematics and Systems Science
Beijing, China
7 h-index
14 publications
698 citations

Iran University of Science and Technology
Tehran, Iran
7 h-index
18 publications
762 citations

Delft University of Technology
Delft, The Netherlands
6 h-index
10 publications
608 citations
1–8 of 219
19 publications · 1.6K citations
18
h-index
13 publications · 341 citations
11
h-index
8 publications · 204 citations
8
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7 publications · 221 citations
7
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7 publications · 507 citations
7
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1–5