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Regularization error estimates for distributed control problems in energy spaces
15
Citations
5
References
2020
Year
Numerical AnalysisMathematical ProgrammingRegularization Error EstimatesRegularization ErrorEngineeringVariational AnalysisPde-constrained OptimizationDistributed Parameter SystemMathematical Control TheoryState U ϱSystems EngineeringStochastic ControlL 2Regularization (Mathematics)
For tracking type distributed optimal control problems subject to second‐order elliptic partial differential equations, we analyze the regularization error of the state u ϱ and the target with respect to the regularization parameter ϱ . The main focus is on the regularization in the energy space H −1 (Ω) , but we also consider the regularization in L 2 (Ω) for comparison. While there is no difference in the regularization error estimates when considering suitable target functions , we obtain a higher‐order convergence in the relaxation parameter ϱ when considering the control in the energy space H −1 (Ω) , which also affects the approximation of the target by the state u ϱ .
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