Control Logic Generation

Control Logic Generation is a methodological construct in computer science that systematically produces executable decision-making rules and state transitions governing the behavior of digital systems, distinguished from related synthesis techniques by its focus on deriving hierarchical, condition-driven control architectures from algorithmic or behavioral specifications.

61

Publications

1.8K

Citations

195

Authors

82

Institutions

Publications per year

2017–2026

11

Authors

195

  1. MF
    Martin Fabian

    Chalmers University of Technology, Sweden

    3 publications · 57 citations

    3

    h-index

  2. JC
    Josep Carmona

    Universitat Politècnica de Catalunya, Spain

    2 publications · 37 citations

    2

    h-index

  3. HK
    Hadas Kress‐Gazit

    Cornell University, United States

    2 publications · 134 citations

    2

    h-index

  4. NI
    Nemanja Isailovic

    University of California, Berkeley, United States

    2 publications · 74 citations

    2

    h-index

  5. JR
    Johan Richardsson

    Volvo Cars (Sweden)

    2 publications · 41 citations

    2

    h-index

1–5 of 195

Venues

  1. 3

    h-index

  2. 2

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  3. Journal of Intelligent Manufacturing

    2 publications · 72 citations

    2

    h-index

  4. ArXiv.org

    Repository · 1 publications · 14 citations

    1

    h-index

  5. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 1 publications · 13 citations

    1

    h-index

1–5