State-variable Formulation

State-Variable Formulation is a mathematical modeling framework that represents a dynamic system by a set of first-order differential equations in terms of state variables, where the system’s future behavior is uniquely determined by its current state and inputs, distinguishing it from other system representations by its emphasis on minimal, complete, and time-evolving internal descriptions of system dynamics.

430

Publications

30.4K

Citations

936

Authors

433

Institutions

Publications per year

2017–2026

42

Authors

936

  1. BD
    Brian D. O. Anderson

    Australian National University, Australia

    5 publications · 271 citations

    5

    h-index

  2. EK
    E. Krempl

    Rensselaer Polytechnic Institute, United States

    4 publications · 113 citations

    4

    h-index

  3. MM
    Marc Mangel

    University of California, Santa Cruz, United States

    4 publications · 368 citations

    4

    h-index

  4. GM
    Gérard Meunier

    Centre National de la Recherche Scientifique, France

    4 publications · 128 citations

    4

    h-index

  5. CC
    C.E. Christoffersen

    North Carolina State University, United States

    3 publications · 48 citations

    3

    h-index

1–5 of 936

Venues

  1. IEEE Transactions on Magnetics

    10 publications · 424 citations

    10

    h-index

  2. IEEE Transactions on Automatic Control

    8 publications · 730 citations

    8

    h-index

  3. Journal of Guidance Control and Dynamics

    8 publications · 227 citations

    8

    h-index

  4. IEEE Transactions on Power Systems

    7 publications · 609 citations

    7

    h-index

  5. Operations Research

    6 publications · 820 citations

    6

    h-index

1–5