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Sensitivity Analysis of Optimal Control for a class of parabolic PDEs motivated by Model Predictive Control

URN to cite this document: urn:nbn:de:bvb:703-epub-3894-5

Title data

Grüne, Lars ; Schaller, Manuel ; Schiela, Anton:
Sensitivity Analysis of Optimal Control for a class of parabolic PDEs motivated by Model Predictive Control.
Department of Mathematics, University of Bayreuth
Bayreuth , 2018 . - 23 S.

Project information

Project title:
Project's official title
Project's id
Specialized Adaptive Algorithms for Model Predictive Control of PDEs
GR 1569/17-1
Specialized Adaptive Algorithms for Model Predictive Control of PDEs
SCHI 1379/5-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract

We analyze the sensitivity of the extremal equations that arise from the first order optimality conditions for time dependent optimization problems. More specifically, we consider parabolic PDEs with distributed or boundary control and a linear quadratic performance criterion. We prove the solution's boundedness with respect to the right-hand side of the first order optimality condition which includes initial data. If the system fulfills a particular stabilizability and detectability assumption, the bound is independent of the time horizon. As a consequence, the influence of a perturbation of the right-hand side at a certain time decreases exponentially backward in time. We use this property for the construction of efficient numerical discretizations in a Model Predictive Control scheme. Moreover, a quantitative turnpike theorem in the W([0,T])-norm is derived.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erschienen in:
SIAM Journal on Control and Optimization. Bd. 57 (6 August 2019) Heft 4 . - S. 2753-2774.
DOI: https://doi.org/10.1137/18M1223083
Keywords: sensitivity analysis; turnpike property; model predictive control
Subject classification: Mathematics Subject Classification Code: 49K20, 49K40, 93D20
DDC Subjects: 500 Science > 510 Mathematics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics > Chair Applied Mathematics - Univ.-Prof. Dr. Anton Schiela
Profile Fields > Advanced Fields > Nonlinear Dynamics
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Profile Fields
Profile Fields > Advanced Fields
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-3894-5
Date Deposited: 26 Oct 2018 05:35
Last Modified: 12 May 2021 10:33
URI: https://epub.uni-bayreuth.de/id/eprint/3894

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