Continuous-time State-space Models

Continuous-Time State-Space Models is a mathematical framework for representing dynamical systems in which the state variables evolve continuously over time, distinguished from discrete-time counterparts by its formulation through differential equations that describe the instantaneous rate of change of the state in response to inputs.

293

Publications

16.3K

Citations

647

Authors

321

Institutions

Publications per year

2017–2026

81

Authors

647

  1. MJ
    Mykel J. Kochenderfer

    Stanford University, United States

    5 publications · 550 citations

    5

    h-index

  2. RA
    R. A. Doney

    University of Manchester, United Kingdom

    4 publications · 120 citations

    4

    h-index

  3. HG
    Hugues Garnier

    Centre de Recherche en Automatique de Nancy, France

    4 publications · 119 citations

    4

    h-index

  4. RJ
    Rolf Johansson

    Lund University, Sweden

    4 publications · 167 citations

    4

    h-index

  5. MG
    Marzyeh Ghassemi

    Massachusetts Institute of Technology, United States

    3 publications · 170 citations

    3

    h-index

1–5 of 647

Venues

  1. IEEE Transactions on Automatic Control

    11 publications · 612 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 492 citations

    9

    h-index

  3. Automatica

    6 publications · 130 citations

    6

    h-index

  4. International Journal of Control

    4 publications · 157 citations

    4

    h-index

  5. Journal of Applied Probability

    JAP · 4 publications · 263 citations

    4

    h-index

1–5