Hybrid Control

Hybrid Control is a control framework that integrates multiple distinct control paradigms—such as model-based and data-driven, or rigid and compliant strategies—within a single cohesive system to leverage their complementary strengths in managing the dynamic behavior of mobile or soft robots under varying operational constraints.

2.2K

Publications

93.5K

Citations

5.5K

Authors

1.5K

Institutions

Publications per year

2017–2026

678

Authors

5.5K

  1. AR
    Andrew R. Teel

    University of California, Santa Barbara, United States

    23 publications · 2.5K citations

    18

    h-index

  2. RG
    Ricardo G. Sanfelice

    University of California, Santa Cruz, United States

    25 publications · 2.3K citations

    18

    h-index

  3. PJ
    Panos J. Antsaklis

    University of Notre Dame, United States

    13 publications · 883 citations

    13

    h-index

  4. PE
    Peter E. Caines

    McGill University, Canada

    15 publications · 385 citations

    13

    h-index

  5. JL
    John Lygeros

    ETH Zurich, Switzerland

    12 publications · 446 citations

    11

    h-index

1–5 of 5.5K

Venues

  1. IEEE Transactions on Industrial Electronics

    41 publications · 3.2K citations

    31

    h-index

  2. IEEE Transactions on Automatic Control

    42 publications · 5.8K citations

    29

    h-index

  3. IEEE Transactions on Power Electronics

    33 publications · 2.1K citations

    26

    h-index

  4. IEEE Transactions on Control Systems Technology

    24 publications · 1.4K citations

    20

    h-index

  5. IEEE Access

    34 publications · 997 citations

    20

    h-index

1–5