---
_id: '21557'
author:
- first_name: Anian
  full_name: Brosch, Anian
  id: '75779'
  last_name: Brosch
  orcid: 0000-0003-4871-1664
- first_name: Oliver
  full_name: Wallscheid, Oliver
  id: '11291'
  last_name: Wallscheid
  orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
  full_name: Böcker, Joachim
  id: '66'
  last_name: Böcker
  orcid: 0000-0002-8480-7295
citation:
  ama: Brosch A, Wallscheid O, Böcker J. Torque and Inductances Estimation for Finite
    Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.
    <i>IEEE Transactions on Industrial Informatics</i>. Published online 2021. doi:<a
    href="https://doi.org/10.1109/tii.2021.3060469">10.1109/tii.2021.3060469</a>
  apa: Brosch, A., Wallscheid, O., &#38; Böcker, J. (2021). Torque and Inductances
    Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
    Synchronous Motors. <i>IEEE Transactions on Industrial Informatics</i>. <a href="https://doi.org/10.1109/tii.2021.3060469">https://doi.org/10.1109/tii.2021.3060469</a>
  bibtex: '@article{Brosch_Wallscheid_Böcker_2021, title={Torque and Inductances Estimation
    for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
    Motors}, DOI={<a href="https://doi.org/10.1109/tii.2021.3060469">10.1109/tii.2021.3060469</a>},
    journal={IEEE Transactions on Industrial Informatics}, author={Brosch, Anian and
    Wallscheid, Oliver and Böcker, Joachim}, year={2021} }'
  chicago: Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Torque and Inductances
    Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
    Synchronous Motors.” <i>IEEE Transactions on Industrial Informatics</i>, 2021.
    <a href="https://doi.org/10.1109/tii.2021.3060469">https://doi.org/10.1109/tii.2021.3060469</a>.
  ieee: 'A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation
    for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
    Motors,” <i>IEEE Transactions on Industrial Informatics</i>, 2021, doi: <a href="https://doi.org/10.1109/tii.2021.3060469">10.1109/tii.2021.3060469</a>.'
  mla: Brosch, Anian, et al. “Torque and Inductances Estimation for Finite Model Predictive
    Control of Highly Utilized Permanent Magnet Synchronous Motors.” <i>IEEE Transactions
    on Industrial Informatics</i>, 2021, doi:<a href="https://doi.org/10.1109/tii.2021.3060469">10.1109/tii.2021.3060469</a>.
  short: A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics
    (2021).
date_created: 2021-03-22T17:32:46Z
date_updated: 2022-02-28T09:14:48Z
department:
- _id: '52'
doi: 10.1109/tii.2021.3060469
language:
- iso: eng
publication: IEEE Transactions on Industrial Informatics
publication_identifier:
  issn:
  - 1551-3203
  - 1941-0050
publication_status: published
status: public
title: Torque and Inductances Estimation for Finite Model Predictive Control of Highly
  Utilized Permanent Magnet Synchronous Motors
type: journal_article
user_id: '75779'
year: '2021'
...
---
_id: '25030'
author:
- first_name: Maximilian
  full_name: Schenke, Maximilian
  id: '52638'
  last_name: Schenke
  orcid: 0000-0001-5427-9527
- first_name: Wilhelm
  full_name: Kirchgässner, Wilhelm
  id: '49265'
  last_name: Kirchgässner
  orcid: 0000-0001-9490-1843
- first_name: Oliver
  full_name: Wallscheid, Oliver
  id: '11291'
  last_name: Wallscheid
  orcid: https://orcid.org/0000-0001-9362-8777
citation:
  ama: 'Schenke M, Kirchgässner W, Wallscheid O. Controller Design for Electrical
    Drives by Deep Reinforcement Learning: A Proof of Concept. <i>IEEE Transactions
    on Industrial Informatics</i>. Published online 2019:4650-4658. doi:<a href="https://doi.org/10.1109/tii.2019.2948387">10.1109/tii.2019.2948387</a>'
  apa: 'Schenke, M., Kirchgässner, W., &#38; Wallscheid, O. (2019). Controller Design
    for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. <i>IEEE
    Transactions on Industrial Informatics</i>, 4650–4658. <a href="https://doi.org/10.1109/tii.2019.2948387">https://doi.org/10.1109/tii.2019.2948387</a>'
  bibtex: '@article{Schenke_Kirchgässner_Wallscheid_2019, title={Controller Design
    for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept}, DOI={<a
    href="https://doi.org/10.1109/tii.2019.2948387">10.1109/tii.2019.2948387</a>},
    journal={IEEE Transactions on Industrial Informatics}, author={Schenke, Maximilian
    and Kirchgässner, Wilhelm and Wallscheid, Oliver}, year={2019}, pages={4650–4658}
    }'
  chicago: 'Schenke, Maximilian, Wilhelm Kirchgässner, and Oliver Wallscheid. “Controller
    Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.”
    <i>IEEE Transactions on Industrial Informatics</i>, 2019, 4650–58. <a href="https://doi.org/10.1109/tii.2019.2948387">https://doi.org/10.1109/tii.2019.2948387</a>.'
  ieee: 'M. Schenke, W. Kirchgässner, and O. Wallscheid, “Controller Design for Electrical
    Drives by Deep Reinforcement Learning: A Proof of Concept,” <i>IEEE Transactions
    on Industrial Informatics</i>, pp. 4650–4658, 2019, doi: <a href="https://doi.org/10.1109/tii.2019.2948387">10.1109/tii.2019.2948387</a>.'
  mla: 'Schenke, Maximilian, et al. “Controller Design for Electrical Drives by Deep
    Reinforcement Learning: A Proof of Concept.” <i>IEEE Transactions on Industrial
    Informatics</i>, 2019, pp. 4650–58, doi:<a href="https://doi.org/10.1109/tii.2019.2948387">10.1109/tii.2019.2948387</a>.'
  short: M. Schenke, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Industrial
    Informatics (2019) 4650–4658.
date_created: 2021-09-24T10:30:54Z
date_updated: 2022-02-15T09:02:10Z
department:
- _id: '52'
doi: 10.1109/tii.2019.2948387
language:
- iso: eng
page: 4650-4658
publication: IEEE Transactions on Industrial Informatics
publication_identifier:
  issn:
  - 1551-3203
  - 1941-0050
publication_status: published
status: public
title: 'Controller Design for Electrical Drives by Deep Reinforcement Learning: A
  Proof of Concept'
type: journal_article
user_id: '52638'
year: '2019'
...