Nonlinear System Identification
Nonlinear System Identification is the systematic process of constructing mathematical models of dynamic systems from observed data, specifically characterized by its focus on capturing and representing inherently nonlinear behaviors that cannot be adequately described by linear system assumptions.
4.4K
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250.2K
Citations
7.7K
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Publications per year
2017–2026
979
4.4K
Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text
Computing, Computational Engineering, Biomedical Signal Processing +16
Nonlinear black-box modeling in system identification: a unified overview
Jonas Sjöberg, Qinghua Zhang, Lennart Ljung et al. · Automatica · 1995 · 1.9K citations · Full text
On dynamic mode decomposition: Theory and applications
Journal of Computational Dynamics · 2014 · 1.4K citations · Full text
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University of Sheffield
Sheffield, United Kingdom
55 h-index
269 publications
18.8K citations
Jiangnan University
Wuxi, China
51 h-index
247 publications
14.8K citations

Linköping University
Linköping, Sweden
38 h-index
111 publications
14.9K citations

Centre National de la Recherche Scientifique
Paris, France
34 h-index
193 publications
7.6K citations
Qingdao University of Science and Technology
Qingdao, China
32 h-index
85 publications
7.8K citations
University of Southern California
Los Angeles, United States
32 h-index
98 publications
7.4K citations
Vrije Universiteit Brussel
Brussels, Belgium
28 h-index
185 publications
6.5K citations
Massachusetts Institute of Technology
Cambridge, United States
26 h-index
95 publications
4.8K citations
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199 publications · 19K citations
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154 publications · 11.7K citations
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83 publications · 6.8K citations
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MSSP · 113 publications · 5.9K citations
39
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79 publications · 3.9K citations
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