Mixed-state Estimation

Mixed-State Estimation is a state estimation framework that integrates discrete mode variables with continuous state variables to enable joint inference of hybrid system dynamics within a probabilistic filtering paradigm.

17

Publications

489

Citations

48

Authors

34

Institutions

Publications per year

2017–2026

1

Variants

Hybrid State Estimation

Authors

48

  1. JY
    Jianfeng Yao

    University of Hong Kong, Hong Kong SAR China

    2 publications · 44 citations

    2

    h-index

  2. TW
    Ting Wang

    Southeast University, China

    1 publications · 17 citations

    1

    h-index

  3. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    1 publications · 37 citations

    1

    h-index

  4. JL
    Junwei Lu

    Griffith University, Australia

    1 publications · 17 citations

    1

    h-index

  5. DL
    Dong-Jin Lim

    Hanyang University, South Korea

    1 publications · 17 citations

    1

    h-index

1–5 of 48

Venues

  1. IFAC Proceedings Volumes

    1 publications · 11 citations

    1

    h-index

  2. Journal of Power Electronics

    JPE · 1 publications · 17 citations

    1

    h-index

  3. Journal of Process Control

    1 publications · 37 citations

    1

    h-index

  4. Biometrika

    1 publications · 11 citations

    1

    h-index

  5. Physical Review A

    PRA · 1 publications · 31 citations

    1

    h-index

1–5