Solving optimal control problems with terminal complementarity constraints via Scholtes’ relaxation scheme
Francisco Benita and
Patrick Mehlitz ()
Additional contact information
Patrick Mehlitz: Brandenburgische Technische Universität Cottbus-Senftenberg
Computational Optimization and Applications, 2019, vol. 72, issue 2, No 6, 413-430
Abstract:
Abstract We investigate the numerical treatment of optimal control problems of linear ordinary differential equations with terminal complementarity constraints. Therefore, we generalize the well-known relaxation technique of Scholtes to the problem at hand. In principle, any other relaxation approach from finite-dimensional complementarity programming can be adapted in similar fashion. It is shown that the suggested method possesses strong convergence properties under mild assumptions. Finally, some numerical examples are presented.
Keywords: Complementarity-constrained programming; Optimal control; Relaxation; 49K15; 49M20 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10589-018-0050-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:coopap:v:72:y:2019:i:2:d:10.1007_s10589-018-0050-y
Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589
DOI: 10.1007/s10589-018-0050-y
Access Statistics for this article
Computational Optimization and Applications is currently edited by William W. Hager
More articles in Computational Optimization and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().