@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}
}

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    <dcterms:title>MOCOKI : A Monte Carlo approach for optimal control in the force of a linear kinetic model</dcterms:title>
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    <dc:creator>Borzì, Alfio</dc:creator>
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    <dcterms:abstract xml:lang="eng">A 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.</dcterms:abstract>
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    <dc:creator>Bartsch, Jan</dc:creator>
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    <dc:contributor>Bartsch, Jan</dc:contributor>
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