MOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic model

dc.contributor.authorBartsch, Jan
dc.contributor.authorBorzì, Alfio
dc.date.accessioned2022-08-31T13:06:32Z
dc.date.available2022-08-31T13:06:32Z
dc.date.issued2021eng
dc.description.abstractA Monte Carlo framework for solving optimal control problems governed by kinetic models is presented. The focus is on a kinetic model with Keilson-Storer linear collision term and the control mechanism is an external space-dependent force. The purpose of this control is to drive an ensemble of particles to acquire a desired mean velocity and position and to reach a desired final configuration in phase space. For this purpose, a gradient-based computational strategy in the framework of Monte Carlo methods is developed. Results of numerical experiments successfully validate the proposed control framework.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1016/j.cpc.2021.108030eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/58450
dc.language.isoengeng
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dc.subject.ddc510eng
dc.titleMOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic modeleng
dc.typeJOURNAL_ARTICLEeng
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@article{Bartsch2021MOCOK-58450,
  year={2021},
  doi={10.1016/j.cpc.2021.108030},
  title={MOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic model},
  volume={266},
  issn={1386-9485},
  journal={Computer Physics Communications},
  author={Bartsch, Jan and Borzì, Alfio},
  note={Article Number: 108030}
}
kops.citation.iso690BARTSCH, Jan, Alfio BORZÌ, 2021. MOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic model. In: Computer Physics Communications. Elsevier. 2021, 266, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030deu
kops.citation.iso690BARTSCH, Jan, Alfio BORZÌ, 2021. MOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic model. In: Computer Physics Communications. Elsevier. 2021, 266, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030eng
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kops.sourcefieldComputer Physics Communications. Elsevier. 2021, <b>266</b>, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030deu
kops.sourcefield.plainComputer Physics Communications. Elsevier. 2021, 266, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030deu
kops.sourcefield.plainComputer Physics Communications. Elsevier. 2021, 266, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030eng
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source.bibliographicInfo.articleNumber108030eng
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source.periodicalTitleComputer Physics Communicationseng
source.publisherElseviereng

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