Transfer Function Inversion

Transfer Function Inversion is a methodological framework in control theory and signal processing that characterizes the process of deriving an inverse transfer function to reconstruct input signals from observed outputs, distinguished by its reliance on the mathematical reciprocity of system dynamics within linear time-invariant systems.

154

Publications

5.6K

Citations

286

Authors

169

Institutions

Publications per year

2017–2026

14

Authors

286

  1. DV
    D. V. Widder

    Harvard University Press, United States

    4 publications · 86 citations

    4

    h-index

  2. JB
    J. Bokor

    Hungarian Academy of Sciences, Hungary

    4 publications · 81 citations

    4

    h-index

  3. BM
    B.G. Mertzios

    Democritus University of Thrace, Greece

    4 publications · 94 citations

    4

    h-index

  4. II
    I. I. Hirschman

    Washington University in St. Louis, United States

    4 publications · 82 citations

    4

    h-index

  5. AS
    Ali Saberi

    Washington State University, United States

    3 publications · 87 citations

    3

    h-index

1–5 of 286

Venues

  1. International Journal of Control

    13 publications · 284 citations

    10

    h-index

  2. Automatica

    9 publications · 413 citations

    9

    h-index

  3. IEEE Transactions on Automatic Control

    8 publications · 367 citations

    8

    h-index

  4. 5

    h-index

  5. Electronics Letters

    4 publications · 133 citations

    4

    h-index

1–5