Augmented Lagrangian methods for optimal control problems governed by mixed quasi-equilibrium problems with applications

Ouayl Chadli, Qamrul Hasan Ansari*, Suliman Al-Homidan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The main goal of this article is to study a general augmented Lagrangian method for optimal control problems governed by mixed (quasi-)equilibrium problems. We establish zero duality gap properties between a primal problem and its augmented Lagrangian dual problem. As a consequence, we give some existence results for optimal control problem governed by evolutionary quasi-variational inequalities. An application to optimal control of obstacle problems described by quasi-hemivariational inequalities is studied. The results obtained in this article are new and improves considerably many recent results in literature.

Original languageEnglish
Pages (from-to)1178-1205
Number of pages28
JournalOptimal Control Applications and Methods
Volume42
Issue number4
DOIs
StatePublished - 1 Jul 2021

Bibliographical note

Publisher Copyright:
© 2021 John Wiley & Sons Ltd.

Keywords

  • Mosco convergence
  • augmented Lagrangian methods
  • mixed quasi-equilibrium problems
  • optimal control problems
  • quasi-hemivariational inequalities
  • quasi-variational inequalities

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Control and Optimization
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Augmented Lagrangian methods for optimal control problems governed by mixed quasi-equilibrium problems with applications'. Together they form a unique fingerprint.

Cite this