Indirect solution for optimal control problems with a pure state constraint

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

This paper presents an algorithm that provides a regularization for the costate dynamics of state constrained optimal control problems with a scalar constraint under the assumption that the Hamiltonian is convex in the control and the state dynamics equation of the constrained state is monotonically increasing in the control variable. The algorithm is demonstrated with a classical optimal control problem.
Original languageEnglish
Title of host publicationProceedings of the 19th IFAC World Congress of the International Federation of Automatic Control, (IFAC'14), 24-29 August 2014, Cape Town, South Africa
Place of PublicationOxford
PublisherPergamon
Pages2456-2461
Publication statusPublished - 2014

Fingerprint

Dive into the research topics of 'Indirect solution for optimal control problems with a pure state constraint'. Together they form a unique fingerprint.

Cite this