Model Predictive Control Simulation

Model Predictive Control Simulation is a computational framework within electric vehicle simulation that employs predictive models to optimize control actions over a receding time horizon, distinguishing itself by iteratively solving constrained optimization problems to simulate real-time decision-making in dynamic driving environments.

314

Publications

13K

Citations

994

Authors

365

Institutions

Publications per year

2017–2026

130

Authors

994

  1. TA
    Tor Arne Johansen

    Norwegian University of Science and Technology, Norway

    8 publications · 244 citations

    8

    h-index

  2. JR
    José Rodríguez

    Federico Santa María Technical University, Chile

    6 publications · 322 citations

    6

    h-index

  3. FB
    Francesco Borrelli

    University of California, Berkeley, United States

    5 publications · 394 citations

    5

    h-index

  4. DE
    Daniel E. Rivera

    Arizona State University, United States

    4 publications · 96 citations

    4

    h-index

  5. BD
    Bart De Schutter

    Delft University of Technology, Netherlands

    4 publications · 141 citations

    4

    h-index

1–5 of 994

Venues

  1. IFAC-PapersOnLine

    17 publications · 347 citations

    13

    h-index

  2. IEEE Transactions on Industrial Electronics

    8 publications · 816 citations

    8

    h-index

  3. IEEE Transactions on Control Systems Technology

    7 publications · 1.5K citations

    7

    h-index

  4. Energies

    5 publications · 144 citations

    5

    h-index

  5. IEEE Access

    4 publications · 137 citations

    4

    h-index

1–5