Longitudinal State-space Modeling

Longitudinal State-Space Modeling is a mathematical framework within flight dynamics that represents the longitudinal motion of an aircraft as a system of first-order differential equations in state-space form, distinguishing itself by capturing the coupled interactions among forward, vertical, and pitching motions through a minimal set of state variables and control inputs.

21

Publications

545

Citations

58

Authors

36

Institutions

Publications per year

2017–2026

7

Authors

58

  1. SR
    Suzanne Rea

    The University of Western Australia, Australia

    1 publications · 32 citations

    1

    h-index

  2. AG
    Anthony Gong

    U.S. Army Aviation and Missile Command, United States

    1 publications · 24 citations

    1

    h-index

  3. AG
    Agnes Gabrys

    Technical University of Munich, Germany

    1 publications · 12 citations

    1

    h-index

  4. EF
    Emilio Ferrer

    University of California, Davis, United States

    1 publications · 29 citations

    1

    h-index

  5. JB
    James B. Semmens

    The University of Western Australia, Australia

    1 publications · 32 citations

    1

    h-index

1–5 of 58

Venues

  1. Journal of Guidance Control and Dynamics

    2 publications · 67 citations

    2

    h-index

  2. Applied Soft Computing

    1 publications · 44 citations

    1

    h-index

  3. Information Sciences

    1 publications · 21 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Aircraft

    1 publications · 16 citations

    1

    h-index

1–5