Input-output Model Identification
Input-Output Model Identification is a methodological framework within process identification that formally characterizes the relationships between system inputs and outputs by constructing mathematical models that distinguish dynamic behavior from structural assumptions.
164
Publications
7.4K
Citations
459
Authors
216
Institutions
Publications per year
2017–2026
48
Parents
164
1–5 of 164
459
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 459
216

Beijing Normal University
Beijing, China
6 h-index
9 publications
536 citations

University of Bologna
Bologna, Italy
5 h-index
8 publications
243 citations
Fudan University
Shanghai, China
4 h-index
8 publications
782 citations
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
474 citations

Peking University
Beijing, China
4 h-index
7 publications
621 citations
Ministry of Natural Resources
Beijing, China
3 h-index
9 publications
198 citations

China University of Geosciences (Beijing)
Beijing, China
3 h-index
12 publications
276 citations

Shanghai Maritime University
Shanghai, China
3 h-index
6 publications
292 citations
1–8 of 216
6 publications · 402 citations
8
h-index
4 publications · 427 citations
5
h-index
JTR · 4 publications · 198 citations
4
h-index
3 publications · 110 citations
3
h-index
3 publications · 68 citations
3
h-index
1–5