Multivariable Disturbance Analysis
Multivariable Disturbance Analysis is a methodological framework within disturbance response analysis that systematically characterizes and quantifies the simultaneous effects of multiple interacting disturbance variables on a system's behavior, distinguishing itself from univariate approaches by explicitly modeling cross-variable dependencies and their joint impact on system dynamics.
9
Publications
331
Citations
26
Authors
10
Institutions
Publications per year
2017–2026
3
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26
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Massachusetts Institute of Technology
Cambridge, United States
1 h-index
2 publications
60 citations
Jiangsu University
Zhenjiang, China
1 h-index
6 publications
156 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
61 citations

Illinois Institute of Technology
Chicago, United States
1 h-index
1 publications
65 citations

Universidad de Sevilla
Seville, Spain
1 h-index
4 publications
116 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
2 publications
122 citations
Systems Technology (United States)
Hawthorne, United States
1 h-index
1 publications
10 citations
Tsinghua University
Beijing, China
1 h-index
4 publications
132 citations
1–8 of 10
1 publications · 29 citations
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Repository · 1 publications · 10 citations
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1 publications · 33 citations
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1 publications · 12 citations
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Conference · 1 publications · 30 citations
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1–5