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

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2021

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Borzì, Alfio

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Computer Physics Communications. Elsevier. 2021, 266, 108030. ISSN 1386-9485. eISSN 1879-2944. Available under: doi: 10.1016/j.cpc.2021.108030

Zusammenfassung

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.

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ISO 690BARTSCH, 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.2021.108030
BibTex
@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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