Multivariable System Identification
Multivariable System Identification is a system identification methodology that characterizes the dynamic behavior of multiple interrelated input-output variables within a unified mathematical framework, distinguishing itself from univariate approaches by explicitly accounting for cross-couplings and interactions among variables in multivariable processes.
500
Publications
25K
Citations
940
Authors
365
Institutions
Publications per year
2017–2026
84
500
Nonlinear black-box models in system identification: Mathematical foundations
Anatoli Juditsky, Håkan Hjalmarsson, Albert Benveniste et al. · Automatica · 1995 · 405 citations
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Jiangnan University
Wuxi, China
29 h-index
96 publications
7.3K citations

Delft University of Technology
Delft, The Netherlands
16 h-index
40 publications
2.5K citations
Qingdao University of Science and Technology
Qingdao, China
15 h-index
33 publications
2.4K citations

Linköping University
Linköping, Sweden
14 h-index
25 publications
5K citations

McMaster University
Hamilton, Canada
12 h-index
18 publications
1K citations

University of Alberta
Edmonton, Canada
11 h-index
28 publications
2.6K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
30 publications
1.6K citations

King Abdulaziz University
Jeddah, Saudi Arabia
11 h-index
18 publications
604 citations
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56 publications · 5.6K citations
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39 publications · 3K citations
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18 publications · 1.3K citations
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27 publications · 610 citations
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