A Comparison of Regularization Methods for Boundary Optimal Control Problems

A Comparison of Regularization Methods for Boundary Optimal Control Problems

Year:    2022

Author:    Giorgio Bornia, Andrea Chierici, Saikanth Ratnavale

International Journal of Numerical Analysis and Modeling, Vol. 19 (2022), Iss. 2-3 : pp. 329–346

Abstract

In this work we propose and compare multiple approaches for the formulation of boundary optimal control problems constrained by PDEs. In particular, we define a property of balanced regularity that is not satisfied by traditional approaches. In order to instead guarantee this property, we consider the use of other regularization terms, one involving fractional Sobolev norms and the other one based on the introduction of lifting functions. As required by the fractional norm approach, we present a semi-analytical numerical implementation of the fractional Laplacian operator. All the proposed formulations are also considered in conjunction with constraints of inequality type on the control variable. Numerical results are reported to compare all the presented regularization techniques.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2022-IJNAM-20484

International Journal of Numerical Analysis and Modeling, Vol. 19 (2022), Iss. 2-3 : pp. 329–346

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:    Boundary optimal control regularization methods inequality constraints

Author Details

Giorgio Bornia

Andrea Chierici

Saikanth Ratnavale