Nonlinear Model Reduction

Nonlinear Model Reduction is a reduced-order modeling technique that specifically addresses nonlinear systems by preserving essential nonlinear dynamics while projecting the original high-dimensional system onto a lower-dimensional subspace.

1.8K

Publications

94.1K

Citations

3.1K

Authors

1K

Institutions

Publications per year

2017–2026

529

Variants

Nonlinear Model Order Reduction

Authors

3.1K

  1. PB
    Peter Benner

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    33 publications · 1.9K citations

    20

    h-index

  2. SG
    Serkan Gugercin

    Virginia Tech, United States

    22 publications · 2.1K citations

    19

    h-index

  3. CF
    Charbel Farhat

    Stanford University, United States

    19 publications · 3.1K citations

    18

    h-index

  4. KW
    Karen Willcox

    Massachusetts Institute of Technology, United States

    20 publications · 2K citations

    18

    h-index

  5. AM
    Andrea Manzoni

    Politecnico di Milano, Italy

    18 publications · 980 citations

    16

    h-index

1–5 of 3.1K

Venues

  1. 36

    h-index

  2. IEEE Transactions on Automatic Control

    71 publications · 5.5K citations

    35

    h-index

  3. Journal of Computational Physics

    43 publications · 3.7K citations

    30

    h-index

  4. International Journal of Control

    45 publications · 3.4K citations

    26

    h-index

  5. 25

    h-index

1–5