State-space Synthesis

State–Space Synthesis is a method in network synthesis that constructs dynamic system models by representing system behavior through state variables and their first-order differential equations, distinguished from other synthesis approaches by its explicit formulation of internal system dynamics in multidimensional state space.

101

Publications

6.4K

Citations

193

Authors

114

Institutions

Publications per year

2017–2026

7

Authors

193

  1. BD
    Brian D. O. Anderson

    Australian National University, Australia

    5 publications · 202 citations

    5

    h-index

  2. CT
    C. Toumazou

    Imperial College London, United Kingdom

    4 publications · 103 citations

    4

    h-index

  3. AP
    A.J. Payne

    Imperial College London, United Kingdom

    4 publications · 113 citations

    4

    h-index

  4. TH
    Takao Hinamoto

    Hiroshima University, Japan

    3 publications · 124 citations

    3

    h-index

  5. UÇ
    Uǧur Çam

    Dokuz Eylül University, Türkiye

    3 publications · 43 citations

    3

    h-index

1–5 of 193

Venues

  1. IEEE Transactions on Automatic Control

    9 publications · 2.5K citations

    9

    h-index

  2. International Journal of Control

    7 publications · 821 citations

    7

    h-index

  3. IEEE Transactions on Circuits and Systems

    6 publications · 243 citations

    6

    h-index

  4. 4

    h-index

  5. Electronics Letters

    3 publications · 99 citations

    3

    h-index

1–5