Title data
Grüne, Lars ; Schaller, Manuel ; Schiela, Anton:
Efficient Model Predictive Control for parabolic PDEs with goal oriented error estimation.
In: SIAM Journal on Scientific Computing.
Vol. 44
(2022)
Issue 1
.
 A471A500.
ISSN 10957197
DOI: https://doi.org/10.1137/20M1356324
This is the latest version of this item.
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Project information
Project title: 
Project's official title Project's id Specialized Adaptive Algorithms for Model Predictive Control of PDEs GR 1569/171 Specialized Adaptive Algorithms for Model Predictive Control of PDEs SCHI 1379/51 

Project financing: 
Deutsche Forschungsgemeinschaft 
Abstract in another language
We show how a posteriori goal oriented error estimation can be used to efficiently solve the subproblems occurring in a Model Predictive Control (MPC) algorithm. In MPC, only an initial part of a computed solution is implemented as a feedback, which motivates grid refinement particularly tailored to this context. To this end, we present a truncated cost functional as objective for goal oriented adaptivity and prove under stabilizability assumptions that error indicators decay exponentially outside the support of this quantity. This leads to very efficient time and space discretizations for MPC, which we will illustrate by means of various numerical examples.
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Efficient MPC for parabolic PDEs with goal oriented error estimation. (deposited 03 Aug 2020 09:27)
 Efficient Model Predictive Control for parabolic PDEs with goal oriented error estimation. (deposited 24 Feb 2022 08:26) [Currently Displayed]