State Prediction

State Prediction is a state-estimation method in control theory and dynamical systems that belongs to the class of predictive modeling techniques, distinguished by its use of a system’s current state and dynamic model to forecast future states in discrete or continuous time, particularly under conditions of measurement delay or missing data.

907

Publications

46K

Citations

2.5K

Authors

855

Institutions

Publications per year

2017–2026

394

Authors

2.5K

  1. DR
    D. Rees

    University of South Wales, United Kingdom

    9 publications · 347 citations

    9

    h-index

  2. JR
    José Rodríguez

    Federico Santa María Technical University, Chile

    8 publications · 2.5K citations

    8

    h-index

  3. FP
    Franck Plestan

    École Centrale de Nantes, France

    7 publications · 322 citations

    7

    h-index

  4. DE
    Daniel E. Quevedo

    University of Newcastle Australia, Australia

    6 publications · 267 citations

    6

    h-index

  5. EM
    Emmanuel Moulay

    Centre National de la Recherche Scientifique, France

    6 publications · 278 citations

    6

    h-index

1–5 of 2.5K

Venues

  1. Automatica

    31 publications · 3K citations

    24

    h-index

  2. IEEE Transactions on Industrial Electronics

    19 publications · 4.4K citations

    17

    h-index

  3. IEEE Access

    22 publications · 882 citations

    17

    h-index

  4. Neurocomputing

    18 publications · 677 citations

    16

    h-index

  5. International Journal of Control

    15 publications · 954 citations

    13

    h-index

1–5