Publication Cover
Applicable Analysis
An International Journal
Volume 93, 2014 - Issue 1
112
Views
1
CrossRef citations to date
0
Altmetric
Articles

Optimal control of self-adjoint nonlinear operator equations in Hilbert spaces

, &
Pages 210-222 | Received 19 Sep 2012, Accepted 02 Jan 2013, Published online: 31 Jan 2013
 

Abstract

In this paper, we formulate and study a general optimal control problem governed by nonlinear operator equations described by unbounded self-adjoint operators in Hilbert spaces. This problem extends various particular control models studied in the literature, while it has not been considered before in such a generality. We develop an efficient way to construct a finite-dimensional subspace extension of the given self-adjoint operator that allows us to design the corresponding adjoint system and finally derive an appropriate counterpart of the Pontryagin Maximum Principle for the constrained optimal control problem under consideration by using the obtained increment formula for the cost functional and needle type variations of optimal controls.

AMS Subject Classifications:

Acknowledgments

The authors thank the King Fahd University of Petroleum and Minerals for excellent facilities provided to support scientific research. Research of the second author was partly supported by the USA National Science Foundation under Grant DMS-1007132.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.