---
_id: '34171'
abstract:
- lang: eng
  text: State estimation when only a partial model of a considered system is available
    remains a major challenge in many engineering fields. This work proposes a joint,
    square-root unscented Kalman filter to estimate states and model uncertainties
    simultaneously by linear combinations of physics-motivated library functions.
    Using a sparsity promoting approach, a selection of those linear combinations
    is chosen and thus an interpretable model can be extracted. Results indicate a
    small estimation error compared to a traditional square-root unscented Kalman
    filter and exhibit the enhancement of physically meaningful models.
author:
- first_name: Ricarda-Samantha
  full_name: Götte, Ricarda-Samantha
  id: '43992'
  last_name: Götte
- first_name: Julia
  full_name: Timmermann, Julia
  id: '15402'
  last_name: Timmermann
citation:
  ama: 'Götte R-S, Timmermann J. Estimating States and Model Uncertainties Jointly
    by a Sparsity Promoting UKF. In: <i>12th IFAC Symposium on Nonlinear Control Systems
    (NOLCOS 2022)</i>. Vol 56. ; 2023:85-90. doi:<a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>'
  apa: Götte, R.-S., &#38; Timmermann, J. (2023). Estimating States and Model Uncertainties
    Jointly by a Sparsity Promoting UKF. <i>12th IFAC Symposium on Nonlinear Control
    Systems (NOLCOS 2022)</i>, <i>56</i>(1), 85–90. <a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>
  bibtex: '@inproceedings{Götte_Timmermann_2023, title={Estimating States and Model
    Uncertainties Jointly by a Sparsity Promoting UKF}, volume={56}, DOI={<a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>},
    number={1}, booktitle={12th IFAC Symposium on Nonlinear Control Systems (NOLCOS
    2022)}, author={Götte, Ricarda-Samantha and Timmermann, Julia}, year={2023}, pages={85–90}
    }'
  chicago: Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model
    Uncertainties Jointly by a Sparsity Promoting UKF.” In <i>12th IFAC Symposium
    on Nonlinear Control Systems (NOLCOS 2022)</i>, 56:85–90, 2023. <a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.
  ieee: 'R.-S. Götte and J. Timmermann, “Estimating States and Model Uncertainties
    Jointly by a Sparsity Promoting UKF,” in <i>12th IFAC Symposium on Nonlinear Control
    Systems (NOLCOS 2022)</i>, Canberra, Australien, 2023, vol. 56, no. 1, pp. 85–90,
    doi: <a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.'
  mla: Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model
    Uncertainties Jointly by a Sparsity Promoting UKF.” <i>12th IFAC Symposium on
    Nonlinear Control Systems (NOLCOS 2022)</i>, vol. 56, no. 1, 2023, pp. 85–90,
    doi:<a href="https://doi.org/10.1016/j.ifacol.2023.02.015">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.
  short: 'R.-S. Götte, J. Timmermann, in: 12th IFAC Symposium on Nonlinear Control
    Systems (NOLCOS 2022), 2023, pp. 85–90.'
conference:
  end_date: 2023-01-06
  location: Canberra, Australien
  name: 12th IFAC Symposium on Nonlinear Control Systems NOLCOS 2022
  start_date: 2023-01-04
date_created: 2022-12-01T07:17:00Z
date_updated: 2024-11-13T08:43:05Z
department:
- _id: '153'
- _id: '880'
doi: https://doi.org/10.1016/j.ifacol.2023.02.015
intvolume: '        56'
issue: '1'
keyword:
- joint estimation
- unscented transform
- Kalman filter
- sparsity
- data-driven
- compressed sensing
language:
- iso: eng
page: 85-90
publication: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)
quality_controlled: '1'
status: public
title: Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
type: conference
user_id: '43992'
volume: 56
year: '2023'
...