<div class="csl-bib-body">
<div class="csl-entry">Quincampoix, M., Scarinci, T., & Veliov, V. (2020). On the metric regularity of affine optimal control problems. <i>Journal of Convex Analysis</i>, <i>27</i>(2), 509–533. http://hdl.handle.net/20.500.12708/140011</div>
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dc.identifier.issn
0944-6532
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/140011
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dc.description.abstract
The paper establishes properties of the type of (strong) metric regularity of the set-valued map associated with the system of necessary optimality conditions for optimal control problems that are affine with respect to the control (shortly, affine problems). It is shown that for such problems it is reasonable to extend the standard notions of metric regularity by involving two metrics in the image space of the map. This is done by introducing (following an earlier paper by the first and the third author) the concept of (strong) bi-metric regularity in a general space setting. Lyusternik-Graves-type theorems are proved for (strongly) bi- metrically regular maps, which claim stability of these regularity properties with respect to "appropriately small" perturbations. Based on that, it is proved that in the case of a map associated with affine optimal control problems, the strong bi-metric regularity is invariant with respect to linearization. This result is complemented with a sufficient condition for strong bi-metric regularity for linear-quadratic affine optimal control problems, which applies to the "linearization" of a nonlinear affine problem. Thus the same conditions are also sufficient for strong bi-metric regularity in the nonlinear affine problem.
en
dc.language.iso
en
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dc.publisher
Heldermann Verlag
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dc.relation.ispartof
Journal of Convex Analysis
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dc.subject
optimal control
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dc.subject
metric regularity
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dc.subject
affine problems
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dc.subject
solution stability
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dc.subject
perturbed control problems.
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dc.title
On the metric regularity of affine optimal control problems
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dc.type
Artikel
de
dc.type
Article
en
dc.contributor.affiliation
Laboratoire de Mathématiques de Bretagne Atlantique, Unité CNRS UMR6205, Université de Brest, France
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dc.contributor.affiliation
Dept. of Statistics and Operations Research, University of Vienna, Austria