2019
DOI: 10.1137/18m1223083
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Sensitivity Analysis of Optimal Control for a Class of Parabolic PDEs Motivated by Model Predictive Control

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 i… Show more

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Cited by 36 publications
(68 citation statements)
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“…Our paper generalizes recent results in this direction from parabolic equations [14], which enjoy very favorable smoothing properties, to general evolution equations with much less structure, which in particular comprises hyperbolic equations. This makes the analysis much more delicate.…”
supporting
confidence: 73%
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“…Our paper generalizes recent results in this direction from parabolic equations [14], which enjoy very favorable smoothing properties, to general evolution equations with much less structure, which in particular comprises hyperbolic equations. This makes the analysis much more delicate.…”
supporting
confidence: 73%
“…This makes the analysis much more delicate. For example, in [14], the boundary control or boundary observation case could be dealt with in a straightforward fashion, as the state and adjoint belong to a Sobolev space for a.a. times on which boundary control or observation operators are bounded. This is no longer the case when moving to general evolution equations.…”
mentioning
confidence: 99%
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“…The main novelty of our result is the estimate (11) in weighted spaces, with a constant M which is independent of T . Let us mention that a similar result has been obtained in [12,Theorem 2], for negative weights. The proof is based on a Neumann-series argument.…”
Section: Linear Optimality Systemssupporting
confidence: 80%