TY - JOUR
T1 - A COMPARISON OF REGULARIZATION METHODS FOR BOUNDARY OPTIMAL CONTROL PROBLEMS
AU - Bornia, Giorgio
AU - Chierici, Andrea
AU - Ratnavale, Saikanth
N1 - Publisher Copyright:
© 2022 Institute for Sientifi Computing and Information.
PY - 2022
Y1 - 2022
N2 - 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 con-straints of inequality type on the control variable. Numerical results are reported to compare all the presented regularization techniques.
AB - 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 con-straints of inequality type on the control variable. Numerical results are reported to compare all the presented regularization techniques.
KW - Boundary optimal control
KW - inequality constraints
KW - regularization methods
UR - http://www.scopus.com/inward/record.url?scp=85129593264&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85129593264
VL - 19
SP - 329
EP - 346
JO - International Journal of Numerical Analysis and Modeling
JF - International Journal of Numerical Analysis and Modeling
SN - 1705-5105
IS - 2-3
ER -