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A certified reduced basis method for parametrized ellipticoptimal control problems∗

Published online by Cambridge University Press:  07 March 2014

Mark Kärcher  and
Martin A. Grepl
Mark Kärcher
Affiliation:
Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Schinkelstraße 2, 52062 Aachen, Germany. [email protected]
Martin A. Grepl
Affiliation:
Numerical Mathematics, RWTH Aachen University, Templergraben 55, 52056 Aachen, Germany; [email protected]
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Abstract

In this paper, we employ the reduced basis method as a surrogate model for the solutionof linear-quadratic optimal control problems governed by parametrized elliptic partialdifferential equations. We present a posteriori error estimation and dualprocedures that provide rigorous bounds for the error in several quantities of interest:the optimal control, the cost functional, and general linear output functionals of thecontrol, state, and adjoint variables. We show that, based on the assumption of affineparameter dependence, the reduced order optimal control problem and the proposed boundscan be efficiently evaluated in an offline-online computational procedure. Numericalresults are presented to confirm the validity of our approach.

Keywords

Optimal controlreduced basis methoda posteriori error estimationmodel order reductionparameter-dependent systems
Type
Research Article
Information
ESAIM: Control, Optimisation and Calculus of Variations , Volume 20 , Issue 2 , April 2014 , pp. 416 - 441
Copyright
© EDP Sciences, SMAI, 2014

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