Error estimates for integral constraint regularization of state-constrained elliptic control problems

B. Jadamba (), A. Khan () and M. Sama ()
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B. Jadamba: Rochester Institute of Technology
A. Khan: Rochester Institute of Technology
M. Sama: E.T.S.I.I. Universidad Nacional de Educación a Distancia

Computational Optimization and Applications, 2017, vol. 67, issue 1, No 2, 39-71

Abstract: Abstract In this paper, we study new aspects of the integral contraint regularization of state-constrained elliptic control problems (Jadamba et al. in Syst Control Lett 61(6):707–713, 2012). Besides giving new results on the regularity and the convergence of the regularized controls and associated Lagrange multipliers, the main objective of this paper is to give abstract error estimates for the regularization error. We also consider a discretization of the regularized problems and derive numerical estimates which are uniform with respect to the regularization parameter and the discretization parameter. As an application of these results, we prove that this discretization is indeed a full discretization of the original problem defined in terms of a problem with finitely many integral constraints. Detailed numerical results justifying the theoretical findings as well as a comparison of our work with the existing literature is also given.

Keywords: Elliptic optimal control problems; Pointwise state contraints; Integral constraint regularization; Error estimates (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10589-016-9885-2

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