Sampled-data Modeling
Sampled-Data Modeling is a formal methodology within mixed-signal modeling that characterizes systems processing continuous-time signals through discrete-time representations by capturing signal dynamics at specific sampling instants, thereby enabling the analysis and design of systems where analog and digital components interact intermittently.
320
Publications
16.4K
Citations
682
Authors
329
Institutions
Publications per year
2017–2026
62
Parents
320
Modeling and simulation of power electronic converters
Dragan Maksimović, A.M. Stanković, V.J. Thottuvelil et al. · Proceedings of the IEEE · 2001 · 526 citations
1–5 of 320
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329

Kyoto University
Kyoto, Japan
13 h-index
25 publications
1.1K citations
University of Newcastle Australia
Newcastle, Australia
11 h-index
21 publications
968 citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
18 publications
609 citations
University of California, Berkeley
Berkeley, United States
10 h-index
17 publications
527 citations

Federico Santa María Technical University
Valparaíso, Chile
8 h-index
10 publications
370 citations
University of Michigan
Ann Arbor, United States
8 h-index
12 publications
567 citations
Jiangnan University
Wuxi, China
7 h-index
17 publications
1.6K citations

Sapienza University of Rome
Rome, Italy
6 h-index
12 publications
248 citations
1–8 of 329
37 publications · 2.6K citations
22
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26 publications · 1.2K citations
17
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14 publications · 1.7K citations
13
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10 publications · 273 citations
10
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9 publications · 386 citations
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