Multivariable System Modeling is a mathematical framework that characterizes the dynamic interactions among multiple interdependent input and output variables in a physical or engineered system, distinguished from univariate approaches by its explicit representation of cross-couplings and simultaneous behavior across all variables.
512
Publications
30.4K
Citations
1K
Authors
457
Institutions
Publications per year
2017–2026
55
Publications
512
1–5 of 512
Authors
1K
- DO
7
h-index
- FD
6
h-index
- TC
6
h-index
- WW
6
h-index
- BK
6
h-index
1–5 of 1K
Institutions
457
University of Toronto
Toronto, Canada
13 h-index
20 publications
2.8K citations
University of Manchester
Manchester, United Kingdom
13 h-index
22 publications
808 citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
21 publications
601 citations
Jiangnan University
Wuxi, China
10 h-index
28 publications
1.2K citations
University of Houston
Houston, United States
9 h-index
19 publications
798 citations
Imperial College London
London, United Kingdom
8 h-index
10 publications
522 citations
Northeastern University
Shenyang, China
8 h-index
25 publications
953 citations
University of California, Berkeley
Berkeley, United States
8 h-index
17 publications
4K citations
1–8 of 457
Venues
- IEEE Transactions on Automatic Control
52 publications · 8K citations
27
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- Automatica
33 publications · 2.6K citations
22
h-index
- International Journal of Control
39 publications · 1.6K citations
21
h-index
- Journal of Process Control
16 publications · 999 citations
13
h-index
- Proceedings of the Institution of Electrical Engineers
15 publications · 396 citations
13
h-index
1–5