Dependent Source Networks

Dependent Source Networks is a theoretical framework in circuit analysis that models electrical networks containing dependent sources, distinguished from independent source networks by its incorporation of controlled voltage or current sources whose magnitudes are determined by other circuit variables.

3

Publications

181

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

5

  1. AB
    A. Budak

    Colorado State University, United States

    1 publications · 86 citations

    1

    h-index

  2. KN
    K. Nay

    Colorado State University, United States

    1 publications · 86 citations

    1

    h-index

  3. WS
    W. Struble

    RTX (United States), United States

    1 publications · 83 citations

    1

    h-index

  4. AP
    A. Platzker

    RTX (United States), United States

    1 publications · 83 citations

    1

    h-index

  5. PY
    Ping Yang

    National Institute of Metrology, China

    1 publications · 12 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. Texas Instruments (United States)

    Dallas, United States

    1 h-index

    1 publications

    12 citations

  2. Colorado State University

    Fort Collins, United States

    1 h-index

    2 publications

    172 citations

  3. RTX (United States)

    Arlington, United States

    1 h-index

    2 publications

    166 citations

1–3 of 3

Venues

  1. IEEE Transactions on Circuits and Systems

    1 publications · 86 citations

    1

    h-index

  2. IEEE Circuits and Devices Magazine

    1 publications · 12 citations

    1

    h-index

1–2