Optimal Control of Constrained Self-Adjoint Nonlinear Operator Equations in Hilbert Spaces
M. A. El-Gebeily (),
B. S. Mordukhovich () and
M. M. Alshahrani ()
Additional contact information
M. A. El-Gebeily: King Fahd University of Petroleum and Minerals
B. S. Mordukhovich: Wayne State University
M. M. Alshahrani: King Fahd University of Petroleum and Minerals
Journal of Optimization Theory and Applications, 2016, vol. 169, issue 3, No 3, 735-758
Abstract:
Abstract This paper deals with the study of a new class of optimal control problems governed by nonlinear self-adjoint operator equations in Hilbert spaces under general constraints of the equality and inequality types on state variables. While the unconstrained version of such problems has been considered in our preceding publication, the presence of constraints significantly complicates the derivation of necessary optimality conditions. Developing a geometric approach based on multineedle control variations and finite-dimensional subspace extensions of unbounded self-adjoint operators, we establish necessary optimality conditions for the constrained control problems under considerations in an appropriate form of the Pontryagin Maximum Principle.
Keywords: Optimal control; Constrained self-adjoint nonlinear operator equations in Hilbert spaces; Necessary optimality conditions; Maximum principle; 49K20; 47H15; 93C30 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-015-0799-4 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:joptap:v:169:y:2016:i:3:d:10.1007_s10957-015-0799-4
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-015-0799-4
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().