Abstract
In this paper we propose an algorithm for the bi-level optimal input design involving a parameter-dependent evolution problem. In the inner cycle a control is fixed and the parameter is optimized in order to minimize a cost function that measure the discrepancy from some data. In the outer cycle the found parameter is fixed and the control is now optimized in order to minimize a suitable measure of uncertainty of the parameters. The inner cycle uses a trustregion reduced basis approximation of the model with creation and enrichment of the reduced basis on-the-fly. Numerical examples illustrate the efficiency of the proposed approach.
Originalsprache | englisch |
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Publikationsstatus | Veröffentlicht - 7 Sept. 2022 |
Veranstaltung | 4th IFAC Workshop on Control of Systems Governed by Partial Differential Equations - Kiel, Deutschland Dauer: 5 Sept. 2022 → 7 Sept. 2022 http://cpde2022.org/ |
Konferenz
Konferenz | 4th IFAC Workshop on Control of Systems Governed by Partial Differential Equations |
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Kurztitel | CPDE |
Land/Gebiet | Deutschland |
Ort | Kiel |
Zeitraum | 5/09/22 → 7/09/22 |
Internetadresse |