State Change Detection

State Change Detection is a methodological framework within state management that identifies and analyzes transitions in system states by distinguishing dynamic alterations from static conditions through systematic monitoring and evaluation of state variables.

196

Publications

8.9K

Citations

619

Authors

291

Institutions

Publications per year

2017–2026

58

Authors

619

  1. JT
    J.K. Tugnait

    Auburn University, United States

    4 publications · 610 citations

    4

    h-index

  2. TZ
    Tianhao Zheng

    The University of Texas at Austin, United States

    3 publications · 95 citations

    3

    h-index

  3. NV
    Namrata Vaswani

    Iowa State University, United States

    3 publications · 85 citations

    3

    h-index

  4. MB
    Michèle Basseville

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 289 citations

    3

    h-index

  5. ME
    Mattan Erez

    The University of Texas at Austin, United States

    3 publications · 95 citations

    3

    h-index

1–5 of 619

Venues

  1. Automatica

    5 publications · 586 citations

    5

    h-index

  2. Control Engineering Practice

    3 publications · 84 citations

    3

    h-index

  3. IEEE Transactions on Power Systems

    3 publications · 95 citations

    3

    h-index

  4. IEEE Transactions on Automatic Control

    3 publications · 56 citations

    3

    h-index

  5. Journal of Sound and Vibration

    JSV · 2 publications · 97 citations

    2

    h-index

1–5