State-space Abstraction

State-Space Abstraction is a formal method in hybrid systems verification that belongs to the class of abstraction techniques and specifically reduces the complexity of a system's continuous state space by partitioning it into finitely many equivalence regions preserving essential dynamical and safety properties.

169

Publications

10.2K

Citations

391

Authors

151

Institutions

Publications per year

2017–2026

33

Authors

391

  1. AA
    Alessandro Abate

    University of Oxford, United Kingdom

    6 publications · 321 citations

    6

    h-index

  2. SS
    Sadegh Soudjani

    Newcastle University, United Kingdom

    6 publications · 281 citations

    6

    h-index

  3. ML
    Michael L. Littman

    Rutgers, The State University of New Jersey, United States

    5 publications · 443 citations

    5

    h-index

  4. AG
    Antoine Girard

    Université Grenoble Alpes, France

    4 publications · 156 citations

    4

    h-index

  5. MK
    Marta Kwiatkowska

    University of Oxford, United Kingdom

    5 publications · 260 citations

    4

    h-index

1–5 of 391

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 277 citations

    8

    h-index

  2. Journal of Artificial Intelligence Research

    JAIR · 6 publications · 1.7K citations

    6

    h-index

  3. IEEE Transactions on Automatic Control

    5 publications · 230 citations

    5

    h-index

  4. 4

    h-index

  5. IFAC-PapersOnLine

    4 publications · 79 citations

    4

    h-index

1–5