Continuous Delay Models

Continuous Delay Models is a mathematical framework that characterizes process time delay through continuously distributed lag structures, distinguishing it from discrete or fixed-delay representations by modeling delays as smooth, integral-based transformations of past inputs.

100

Publications

3.8K

Citations

234

Authors

148

Institutions

Publications per year

2017–2026

23

Authors

234

  1. BH
    Biao Huang

    University of Alberta, Canada

    3 publications · 162 citations

    3

    h-index

  2. HH
    Håkan Hjalmarsson

    KTH Royal Institute of Technology, Sweden

    2 publications · 36 citations

    2

    h-index

  3. SL
    Sirish L. Shah

    University of Alberta, Canada

    2 publications · 114 citations

    2

    h-index

  4. JM
    J. M. Cushing

    University of Arizona, United States

    2 publications · 522 citations

    2

    h-index

  5. MS
    Mauro Sodini

    University of Pisa, Italy

    2 publications · 52 citations

    2

    h-index

1–5 of 234

Venues

  1. Neurocomputing

    6 publications · 203 citations

    6

    h-index

  2. Chaos Solitons & Fractals

    5 publications · 159 citations

    5

    h-index

  3. Journal of Process Control

    3 publications · 172 citations

    3

    h-index

  4. Computers & Mathematics with Applications

    3 publications · 85 citations

    3

    h-index

  5. Applied Mathematics and Computation

    3 publications · 61 citations

    3

    h-index

1–5