Model Predictive Control For Reactors

Model Predictive Control for Reactors is a model-based advanced control strategy that systematically optimizes reactor power levels and manages neutron flux dynamics by predicting future system behavior over a finite horizon and adjusting control inputs accordingly to satisfy safety and operational constraints.

117

Publications

4.2K

Citations

324

Authors

138

Institutions

Publications per year

2017–2026

33

Authors

324

  1. MG
    Man Gyun Na

    Chosun University, South Korea

    4 publications · 168 citations

    4

    h-index

  2. WK
    Walter Kähm

    University of Cambridge, United Kingdom

    3 publications · 42 citations

    3

    h-index

  3. BU
    B.R. Upadhyaya

    University of Tennessee at Knoxville, United States

    3 publications · 59 citations

    3

    h-index

  4. ZK
    Zoltán K. Nagy

    Purdue University West Lafayette, United States

    2 publications · 149 citations

    2

    h-index

  5. SH
    Sun Ho Shin

    Chosun University, South Korea

    2 publications · 76 citations

    2

    h-index

1–5 of 324

Venues

  1. Computers & Chemical Engineering

    13 publications · 371 citations

    12

    h-index

  2. Industrial & Engineering Chemistry Research

    10 publications · 237 citations

    10

    h-index

  3. Journal of Process Control

    9 publications · 402 citations

    9

    h-index

  4. AIChE Journal

    5 publications · 350 citations

    5

    h-index

  5. Annals of Nuclear Energy

    6 publications · 146 citations

    5

    h-index

1–5