# A certified reduced basis method for parametrized elliptic optimal control problems

ESAIM: Control, Optimisation and Calculus of Variations (2014)

- Volume: 20, Issue: 2, page 416-441
- ISSN: 1292-8119

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topKärcher, Mark, and Grepl, Martin A.. "A certified reduced basis method for parametrized elliptic optimal control problems." ESAIM: Control, Optimisation and Calculus of Variations 20.2 (2014): 416-441. <http://eudml.org/doc/272943>.

@article{Kärcher2014,

abstract = {In this paper, we employ the reduced basis method as a surrogate model for the solution of linear-quadratic optimal control problems governed by parametrized elliptic partial differential equations. We present a posteriori error estimation and dual procedures that provide rigorous bounds for the error in several quantities of interest: the optimal control, the cost functional, and general linear output functionals of the control, state, and adjoint variables. We show that, based on the assumption of affine parameter dependence, the reduced order optimal control problem and the proposed bounds can be efficiently evaluated in an offline-online computational procedure. Numerical results are presented to confirm the validity of our approach.},

author = {Kärcher, Mark, Grepl, Martin A.},

journal = {ESAIM: Control, Optimisation and Calculus of Variations},

keywords = {optimal control; reduced basis method; a posteriori error estimation; model order reduction; parameter-dependent systems; a-posteriori error estimation},

language = {eng},

number = {2},

pages = {416-441},

publisher = {EDP-Sciences},

title = {A certified reduced basis method for parametrized elliptic optimal control problems},

url = {http://eudml.org/doc/272943},

volume = {20},

year = {2014},

}

TY - JOUR

AU - Kärcher, Mark

AU - Grepl, Martin A.

TI - A certified reduced basis method for parametrized elliptic optimal control problems

JO - ESAIM: Control, Optimisation and Calculus of Variations

PY - 2014

PB - EDP-Sciences

VL - 20

IS - 2

SP - 416

EP - 441

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

LA - eng

KW - optimal control; reduced basis method; a posteriori error estimation; model order reduction; parameter-dependent systems; a-posteriori error estimation

UR - http://eudml.org/doc/272943

ER -

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