Analysis and approximation to parabolic optimal control problems with measure-valued controls in time

Fuente: arXiv
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Main Authors: Gong, Wei, Liang, Dongdong
Format: Preprint
Published: 2024
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author Gong, Wei
Liang, Dongdong
author_facet Gong, Wei
Liang, Dongdong
contents In this paper, we investigate an optimal control problem governed by parabolic equations with measure-valued controls over time. We establish the well-posedness of the optimal control problem and derive the first-order optimality condition using Clarke's subgradients, revealing a sparsity structure in time for the optimal control. Consequently, these optimal control problems represent a generalization of impulse control for evolution equations. To discretize the optimal control problem, we employ the space-time finite element method. Here, the state equation is approximated using piecewise linear and continuous finite elements in space, alongside a Petrov-Galerkin method utilizing piecewise constant trial functions and piecewise linear and continuous test functions in time. The control variable is discretized using the variational discretization concept. For error estimation, we initially derive a priori error estimates and stabilities for the finite element discretizations of the state and adjoint equations. Subsequently, we establish weak-* convergence for the control under the norm $\mathcal{M}(\bar I_c;L^2(ω))$, with a convergence order of $O(h^\frac{1}{2}+τ^\frac{1}{4})$ for the state.
format Preprint
id arxiv_https___arxiv_org_abs_2404_02546
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Analysis and approximation to parabolic optimal control problems with measure-valued controls in time
Gong, Wei
Liang, Dongdong
Optimization and Control
Numerical Analysis
65M06, 68M99, 49M40
In this paper, we investigate an optimal control problem governed by parabolic equations with measure-valued controls over time. We establish the well-posedness of the optimal control problem and derive the first-order optimality condition using Clarke's subgradients, revealing a sparsity structure in time for the optimal control. Consequently, these optimal control problems represent a generalization of impulse control for evolution equations. To discretize the optimal control problem, we employ the space-time finite element method. Here, the state equation is approximated using piecewise linear and continuous finite elements in space, alongside a Petrov-Galerkin method utilizing piecewise constant trial functions and piecewise linear and continuous test functions in time. The control variable is discretized using the variational discretization concept. For error estimation, we initially derive a priori error estimates and stabilities for the finite element discretizations of the state and adjoint equations. Subsequently, we establish weak-* convergence for the control under the norm $\mathcal{M}(\bar I_c;L^2(ω))$, with a convergence order of $O(h^\frac{1}{2}+τ^\frac{1}{4})$ for the state.
title Analysis and approximation to parabolic optimal control problems with measure-valued controls in time
topic Optimization and Control
Numerical Analysis
65M06, 68M99, 49M40
url https://arxiv.org/abs/2404.02546