Adaptive finite element method for an unregularized semilinear optimal control problem
We devise an a posteriori error estimator for an affine optimal control problem subject to a semilinear elliptic PDE and control constraints. To approximate the problem, we consider a semidiscrete scheme based on the variational discretization approach. For this solution technique, we design an a po...
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| Main Authors | , |
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| Format | Journal Article |
| Language | English |
| Published |
07.05.2025
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| Subjects | |
| Online Access | Get full text |
| DOI | 10.48550/arxiv.2505.04439 |
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| Summary: | We devise an a posteriori error estimator for an affine optimal control
problem subject to a semilinear elliptic PDE and control constraints. To
approximate the problem, we consider a semidiscrete scheme based on the
variational discretization approach. For this solution technique, we design an
a posteriori error estimator that accounts for the discretization of the state
and adjoint equations, and prove, under suitable local growth conditions of
optimal controls, reliability and efficiency properties of such error
estimator. A simple adaptive strategy based on the devised estimator is
designed and its performance is illustrated with numerical examples. |
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| DOI: | 10.48550/arxiv.2505.04439 |