---
_id: '7985'
abstract:
- lang: eng
  text: Bioprocess modeling has become a useful tool for prediction of the process
    future with the aim to deduce operating decisions (e.g. transfer or feeds). Due
    to variabilities, which often occur between and within batches, updating (re-estimation)
    of model parameters is required at certain time intervals (dynamic parameter estimation)
    to obtain reliable predictions. This can be challenging in the presence of low
    sampling frequencies (e.g. every 24 h), different consecutive scales and large
    measurement errors, as in the case of cell culture seed trains. This contribution
    presents an iterative learning workflow which generates and incorporates knowledge
    concerning cell growth during the process by using a moving horizon estimation
    (MHE) approach for updating of model parameters. This estimation technique is
    compared to a classical weighted least squares estimation (WLSE) approach in the
    context of model updating over three consecutive cultivation scales (40–2160 L)
    of an industrial cell culture seed train. Both techniques were investigated regarding
    robustness concerning the aforementioned challenges and the required amount of
    experimental data (estimation horizon). It is shown how the proposed MHE can deal
    with the aforementioned difficulties by the integration of prior knowledge, even
    if only data at two sampling points are available, outperforming the classical
    WLSE approach. This workflow allows to adequately integrate current process behavior
    into the model and can therefore be a suitable component of a digital twin.
author:
- first_name: Tanja
  full_name: Hernández Rodriguez, Tanja
  id: '52466'
  last_name: Hernández Rodriguez
- first_name: Christoph
  full_name: Posch, Christoph
  last_name: Posch
- first_name: Ralf
  full_name: Pörtner, Ralf
  last_name: Pörtner
- first_name: Björn
  full_name: Frahm, Björn
  id: '45666'
  last_name: Frahm
citation:
  ama: Hernández Rodriguez T, Posch C, Pörtner R, Frahm B. Dynamic parameter estimation
    and prediction over consecutive scales, based on moving horizon estimation - applied
    to an industrial cell culture seed train. <i>Bioprocess and Biosystems Engineering</i>.
    2021;44(4):793-808. doi:<a href="https://doi.org/10.1007/s00449-020-02488-1 ">10.1007/s00449-020-02488-1
    </a>
  apa: Hernández Rodriguez, T., Posch, C., Pörtner, R., &#38; Frahm, B. (2021). Dynamic
    parameter estimation and prediction over consecutive scales, based on moving horizon
    estimation - applied to an industrial cell culture seed train. <i>Bioprocess and
    Biosystems Engineering</i>, <i>44</i>(4), 793–808. <a href="https://doi.org/10.1007/s00449-020-02488-1
    ">https://doi.org/10.1007/s00449-020-02488-1 </a>
  bjps: <b>Hernández Rodriguez T <i>et al.</i></b> (2021) Dynamic Parameter Estimation
    and Prediction over Consecutive Scales, Based on Moving Horizon Estimation - Applied
    to an Industrial Cell Culture Seed Train. <i>Bioprocess and Biosystems Engineering</i>
    <b>44</b>, 793–808.
  chicago: 'Hernández Rodriguez, Tanja, Christoph Posch, Ralf Pörtner, and Björn Frahm.
    “Dynamic Parameter Estimation and Prediction over Consecutive Scales, Based on
    Moving Horizon Estimation - Applied to an Industrial Cell Culture Seed Train.”
    <i>Bioprocess and Biosystems Engineering</i> 44, no. 4 (2021): 793–808. <a href="https://doi.org/10.1007/s00449-020-02488-1
    ">https://doi.org/10.1007/s00449-020-02488-1 </a>.'
  chicago-de: 'Hernández Rodriguez, Tanja, Christoph Posch, Ralf Pörtner und Björn
    Frahm. 2021. Dynamic parameter estimation and prediction over consecutive scales,
    based on moving horizon estimation - applied to an industrial cell culture seed
    train. <i>Bioprocess and Biosystems Engineering</i> 44, Nr. 4: 793–808. doi:<a
    href="https://doi.org/10.1007/s00449-020-02488-1 ">10.1007/s00449-020-02488-1
    </a>, .'
  din1505-2-1: '<span style="font-variant:small-caps;">Hernández Rodriguez, Tanja</span>
    ; <span style="font-variant:small-caps;">Posch, Christoph</span> ; <span style="font-variant:small-caps;">Pörtner,
    Ralf</span> ; <span style="font-variant:small-caps;">Frahm, Björn</span>: Dynamic
    parameter estimation and prediction over consecutive scales, based on moving horizon
    estimation - applied to an industrial cell culture seed train. In: <i>Bioprocess
    and Biosystems Engineering</i> Bd. 44. Berlin ; Heidelberg [u.a.], Springer (2021),
    Nr. 4, S. 793–808'
  havard: T. Hernández Rodriguez, C. Posch, R. Pörtner, B. Frahm, Dynamic parameter
    estimation and prediction over consecutive scales, based on moving horizon estimation
    - applied to an industrial cell culture seed train, Bioprocess and Biosystems
    Engineering. 44 (2021) 793–808.
  ieee: 'T. Hernández Rodriguez, C. Posch, R. Pörtner, and B. Frahm, “Dynamic parameter
    estimation and prediction over consecutive scales, based on moving horizon estimation
    - applied to an industrial cell culture seed train,” <i>Bioprocess and Biosystems
    Engineering</i>, vol. 44, no. 4, pp. 793–808, 2021, doi: <a href="https://doi.org/10.1007/s00449-020-02488-1
    ">10.1007/s00449-020-02488-1 </a>.'
  mla: Hernández Rodriguez, Tanja, et al. “Dynamic Parameter Estimation and Prediction
    over Consecutive Scales, Based on Moving Horizon Estimation - Applied to an Industrial
    Cell Culture Seed Train.” <i>Bioprocess and Biosystems Engineering</i>, vol. 44,
    no. 4, 2021, pp. 793–808, <a href="https://doi.org/10.1007/s00449-020-02488-1
    ">https://doi.org/10.1007/s00449-020-02488-1 </a>.
  short: T. Hernández Rodriguez, C. Posch, R. Pörtner, B. Frahm, Bioprocess and Biosystems
    Engineering 44 (2021) 793–808.
  ufg: '<b>Hernández Rodriguez, Tanja u. a.</b>: Dynamic parameter estimation and
    prediction over consecutive scales, based on moving horizon estimation - applied
    to an industrial cell culture seed train, in: <i>Bioprocess and Biosystems Engineering</i>
    44 (2021), H. 4,  S. 793–808.'
  van: Hernández Rodriguez T, Posch C, Pörtner R, Frahm B. Dynamic parameter estimation
    and prediction over consecutive scales, based on moving horizon estimation - applied
    to an industrial cell culture seed train. Bioprocess and Biosystems Engineering.
    2021;44(4):793–808.
date_created: 2022-05-05T13:06:12Z
date_updated: 2023-08-21T07:51:38Z
department:
- _id: DEP4021
doi: '10.1007/s00449-020-02488-1 '
intvolume: '        44'
issue: '4'
keyword:
- Dynamic parameter estimation
- Bioprocess
- Cell cultures
- Moving horizon estimation
- Prior knowledge
language:
- iso: eng
page: 793-808
place: Berlin ; Heidelberg [u.a.]
publication: Bioprocess and Biosystems Engineering
publication_identifier:
  eissn:
  - 1615-7605
  issn:
  - 1615-7591
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: Dynamic parameter estimation and prediction over consecutive scales, based
  on moving horizon estimation - applied to an industrial cell culture seed train
type: scientific_journal_article
user_id: '83781'
volume: 44
year: '2021'
...