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A posteriori error estimation for semilinearparabolic optimal control problems with application to model reduction by POD∗

Published online by Cambridge University Press:  21 January 2013

Eileen Kammann
Affiliation:
Institut für Mathematik, Technische Universität Berlin, 10623 Berlin, Germany.. kammann@math.tu-berlin.de; troeltzsch@math.tu-berlin.de
Fredi Tröltzsch
Affiliation:
Institut für Mathematik, Technische Universität Berlin, 10623 Berlin, Germany.. kammann@math.tu-berlin.de; troeltzsch@math.tu-berlin.de
Stefan Volkwein
Affiliation:
Institut für Mathematik und Statistik, Universität Konstanz, 78457 Konstanz, Germany.; Stefan.Volkwein@uni-konstanz.de

Abstract

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We consider the following problem of error estimation for the optimal control ofnonlinear parabolic partial differential equations: let an arbitrary admissible controlfunction be given. How far is it from the next locally optimal control? Under naturalassumptions including a second-order sufficient optimality condition for the (unknown)locally optimal control, we estimate the distance between the two controls. To do this, weneed some information on the lowest eigenvalue of the reduced Hessian. We apply thistechnique to a model reduced optimal control problem obtained by proper orthogonaldecomposition (POD). The distance between a local solution of the reduced problem to alocal solution of the original problem is estimated.

Information

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013