Coupling MPC and HJB for the Computation of POD-based Feedback Laws

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dc.contributor.authorFabrini, Giulia
dc.contributor.authorFalcone, Maurizio
dc.contributor.authorVolkwein, Stefan
dc.date.accessioned2017-12-15T14:27:29Z
dc.date.available2017-12-15T14:27:29Z
dc.date.issued2017eng
dc.description.abstractIn this paper we use a reference trajectory computed by a model predic- tive method to shrink the computational domain where we set the Hamilton-Jacobi Bellman (HJB) equation. Via a reduced-order approach based on proper orthogonal decomposition(POD), this procedure allows for an efficient computation of feedback laws for systems driven by parabolic equations. Some numerical examples illustrate the successful realization of the proposed strategy.eng
dc.description.versionpublishedeng
dc.identifier.ppn496451677
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dc.relation.ispartofseriesKonstanzer Schriften in Mathematik
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dc.titleCoupling MPC and HJB for the Computation of POD-based Feedback Lawseng
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kops.citation.bibtex
@techreport{Fabrini2017Coupl-40957,
  year={2017},
  series={Konstanzer Schriften in Mathematik},
  title={Coupling MPC and HJB for the Computation of POD-based Feedback Laws},
  number={371},
  author={Fabrini, Giulia and Falcone, Maurizio and Volkwein, Stefan}
}
kops.citation.iso690FABRINI, Giulia, Maurizio FALCONE, Stefan VOLKWEIN, 2017. Coupling MPC and HJB for the Computation of POD-based Feedback Lawsdeu
kops.citation.iso690FABRINI, Giulia, Maurizio FALCONE, Stefan VOLKWEIN, 2017. Coupling MPC and HJB for the Computation of POD-based Feedback Lawseng
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