Control System Identification

Control System Identification is a methodological framework within building controls that distinguishes itself by systematically determining the dynamic behavior of building energy systems through empirical data analysis and mathematical modeling to enable accurate prediction and optimization of control performance.

762

Publications

33.3K

Citations

2.2K

Authors

739

Institutions

Publications per year

2017–2026

210

Authors

2.2K

  1. DE
    Daniel E. Rivera

    Arizona State University, United States

    10 publications · 305 citations

    10

    h-index

  2. RJ
    Rolf Johansson

    Lund University, Sweden

    7 publications · 156 citations

    7

    h-index

  3. YZ
    Yucai Zhu

    Eindhoven University of Technology, Netherlands

    7 publications · 207 citations

    7

    h-index

  4. TY
    Toru Yamamoto

    Hiroshima University, Japan

    6 publications · 89 citations

    6

    h-index

  5. XB
    Xavier Bombois

    Delft University of Technology, Netherlands

    6 publications · 426 citations

    6

    h-index

1–5 of 2.2K

Venues

  1. Energy and Buildings

    23 publications · 1.5K citations

    20

    h-index

  2. IEEE Transactions on Control Systems Technology

    19 publications · 3.7K citations

    16

    h-index

  3. IFAC Proceedings Volumes

    16 publications · 394 citations

    13

    h-index

  4. Automatica

    12 publications · 1.4K citations

    12

    h-index

  5. IFAC-PapersOnLine

    15 publications · 288 citations

    12

    h-index

1–5