Differential Flatness-based Planning

Differential Flatness-Based Planning is a trajectory generation method that exploits the property of differential flatness to parameterize the system's dynamics in terms of a set of flat outputs and their derivatives, thereby enabling feasible and dynamically consistent trajectory synthesis through reduced-order planning.

31

Publications

1.1K

Citations

80

Authors

48

Institutions

Publications per year

2017–2026

11

Authors

80

  1. SK
    Sunil K. Agrawal

    University of Delaware, United States

    4 publications · 151 citations

    4

    h-index

  2. YH
    Yongxing Hao

    North China University of Water Resources and Electric Power, China

    2 publications · 37 citations

    2

    h-index

  3. CP
    Chin Pei Tang

    University at Buffalo, State University of New York, United States

    2 publications · 111 citations

    2

    h-index

  4. RM
    Richard M. Murray

    California Institute of Technology, United States

    2 publications · 120 citations

    2

    h-index

  5. IP
    Ionela Prodan

    Université Grenoble Alpes, France

    2 publications · 46 citations

    2

    h-index

1–5 of 80

Venues

  1. IFAC Proceedings Volumes

    2 publications · 120 citations

    2

    h-index

  2. Aerospace Science and Technology

    AST · 2 publications · 53 citations

    2

    h-index

  3. IET Control Theory and Applications

    1 publications · 22 citations

    1

    h-index

  4. The International Journal of Robotics Research

    IJRR · 1 publications · 31 citations

    1

    h-index

  5. Electric Power Systems Research

    1 publications · 24 citations

    1

    h-index

1–5