Real-time Estimation

Real-Time Estimation is a computational methodology within the field of real-time control systems that enables the continuous and time-constrained inference of system states or parameters from limited and dynamic observational data, distinguishing itself by its strict adherence to temporal deadlines essential for maintaining system responsiveness and accuracy.

1.3K

Publications

68K

Citations

4.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

492

Authors

4.3K

  1. RR
    Rajesh Rajamani

    University of Minnesota, United States

    7 publications · 625 citations

    7

    h-index

  2. PV
    Pravin Varaiya

    University of California, Berkeley, United States

    7 publications · 353 citations

    7

    h-index

  3. EA
    Eugene A. Morelli

    Langley Research Center, United States

    7 publications · 577 citations

    7

    h-index

  4. MD
    Moritz Diehl

    KU Leuven, Belgium

    6 publications · 496 citations

    6

    h-index

  5. MP
    Markos Papageorgiou

    Technical University of Crete, Greece

    5 publications · 1.4K citations

    5

    h-index

1–5 of 4.3K

Venues

  1. IEEE Transactions on Industrial Electronics

    20 publications · 1.7K citations

    17

    h-index

  2. IEEE Transactions on Power Systems

    18 publications · 1.3K citations

    17

    h-index

  3. 16

    h-index

  4. 15

    h-index

  5. Sensors

    19 publications · 878 citations

    15

    h-index

1–5