Mixed-integer Trajectory Optimization

Mixed-Integer Trajectory Optimization is a trajectory optimization method that belongs to the class of optimal control problems involving both continuous variables and discrete decision variables, distinguished by its ability to simultaneously optimize continuous flight paths and discrete design or operational decisions such as route sequencing, waypoint selection, or mode switching.

32

Publications

3.2K

Citations

103

Authors

61

Institutions

Publications per year

2017–2026

17

Authors

103

  1. MS
    Manuel Soler

    Universidad Carlos III de Madrid, Spain

    2 publications · 149 citations

    2

    h-index

  2. DW
    Derrick Wing Kwan Ng

    UNSW Sydney, Australia

    2 publications · 514 citations

    2

    h-index

  3. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    2 publications · 810 citations

    2

    h-index

  4. AR
    Arthur Richards

    University of Bristol, United Kingdom

    2 publications · 798 citations

    2

    h-index

  5. PL
    Pengfei Li

    Arizona State University, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 103

Venues

  1. IEEE Internet of Things Journal

    2 publications · 78 citations

    3

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  2. Journal of Guidance Control and Dynamics

    2 publications · 119 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Vehicular Technology

    2 publications · 404 citations

    2

    h-index

  5. IEEE Transactions on Communications

    2 publications · 500 citations

    2

    h-index

1–5