POD a-posteriori error analysis for optimal control problems with mixed control-state constraints

Martin Gubisch () and Stefan Volkwein ()

Computational Optimization and Applications, 2014, vol. 58, issue 3, 619-644

Abstract: In this work linear-quadratic optimal control problems for parabolic equations with mixed control-state constraints are considered. These problems arise when a Lavrentiev regularization is utilized for state constrained linear-quadratic optimal control problems. For the numerical solution a Galerkin discretization is applied utilizing proper orthogonal decomposition (POD). Based on a perturbation method it is determined how far the suboptimal control, computed on the basis of the POD method, is from the (unknown) exact one. Numerical examples illustrate the theoretical results. In particular, the POD Galerkin scheme is applied to a problem with state constraints. Copyright Springer Science+Business Media New York 2014

Keywords: Optimal control; Model reduction; Proper orthogonal decomposition; A-posteriori error estimates (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10589-014-9636-1

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