In this work, the least pointwise upper and/or lower bounds on the state variable on a specified subdomain of a control system under piecewise constant control action are sought. This results in a non-smooth optimization problem in function spaces. Introducing a Moreau-Yosida regularization of the state constraints, the problem can be solved using a superlinearly convergent semi-smooth Newton method. Optimality conditions are derived, convergence of the Moreau-Yosida regularization is proved, and well-posedness and superlinear convergence of the Newton method is shown. Numerical examples illustrate the features of this problem and the proposed approach.
@article{M2AN_2011__45_3_505_0, author = {Clason, Christian and Ito, Kazufumi and Kunisch, Karl}, title = {Minimal invasion: An optimal $L^\infty $ state constraint problem}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Mod\'elisation Math\'ematique et Analyse Num\'erique}, volume = {45}, year = {2011}, pages = {505-522}, doi = {10.1051/m2an/2010064}, zbl = {1269.65060}, language = {en}, url = {http://dml.mathdoc.fr/item/M2AN_2011__45_3_505_0} }
Clason, Christian; Ito, Kazufumi; Kunisch, Karl. Minimal invasion: An optimal $L^\infty $ state constraint problem. ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 45 (2011) pp. 505-522. doi : 10.1051/m2an/2010064. http://gdmltest.u-ga.fr/item/M2AN_2011__45_3_505_0/
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