Closed-loop Optimization

Closed-Loop Optimization is a real-time optimization method that iteratively adjusts system inputs based on continuous feedback measurements, distinguishing itself from open-loop approaches by incorporating actual system performance data to correct deviations and improve optimality within a dynamic environment.

124

Publications

8K

Citations

540

Authors

235

Institutions

Publications per year

2017–2026

57

Authors

540

  1. AA
    Alexei A. Lapkin

    University of Cambridge, United Kingdom

    5 publications · 283 citations

    5

    h-index

  2. DS
    Dean S. Oliver

    University of Oklahoma, United States

    5 publications · 756 citations

    5

    h-index

  3. CL
    Christopher L.E. Swartz

    McMaster University, Canada

    4 publications · 121 citations

    4

    h-index

  4. PS
    Pallav Sarma

    Chevron (Netherlands), Netherlands

    3 publications · 122 citations

    3

    h-index

  5. YC
    Yan Chen

    Xi'an Jiaotong University, China

    3 publications · 527 citations

    3

    h-index

1–5 of 540

Venues

  1. IEEE Transactions on Automatic Control

    5 publications · 143 citations

    5

    h-index

  2. Computers & Chemical Engineering

    4 publications · 214 citations

    4

    h-index

  3. Industrial & Engineering Chemistry Research

    2 publications · 60 citations

    3

    h-index

  4. Science

    3 publications · 927 citations

    3

    h-index

  5. Nature Communications

    2 publications · 125 citations

    3

    h-index

1–5