Abstract

We study an optimal control problem where the cost functional to be minimized represents the so-called time of crisis, i.e. the time spent by a trajectory solution of a control system outside a given set K. This functional can be expressed using the characteristic function of K that is discontinuous preventing the use of the standard Maximum Principle. We consider a regularization scheme of the problem based on the Moreau-Yosida approximation of the indicator function of K. We prove the convergence of an optimal sequence for the approximated problem to an optimal solution of the original problem. We then investigate the convergence of the adjoint vector given by Pontryagin's Principle when the regularization parameter goes to zero. Finally, we provide an example illustrating the convergence property and we compute explicitly an optimal feedback policy and the value function.

Author information

Contact details are reproduced from the original publication and may be historical.

Térence Bayen

Institut Mathématiques, Université Montpellier, CC 051, 34095 Montpellier Cedex 5, France
and: CNRS
and: INRA-INRIA ‘MODEMIC’ team, INRIA Sophia-Antipolis Méditerranée, France

tbayen@math.univ-montp2.fr

Alain Rapaport

Montpellier SupAgro, 2 Place Pierre Viala, 34060 Montpellier Cedex 2, France
and: UMR INRA-SupAgro 729 ‘MISTEA’ 2 place Viala 34060 Montpellier, France

rapaport@montpellier.inra.fr

Keywords

  • Optimal control
  • Pontryagin Maximum Principle
  • Hybrid Maximum Principle
  • Regularization

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Suggested citation

T. Bayen, A. Rapaport. “About Moreau-Yosida Regularization of the Minimal Time Crisis Problem.” Journal of Convex Analysis 23 (2016), No. 1, 263–290. https://doi.org/10.68381/jca23010

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Published by Heldermann Verlag, 2016. Rights now held by Banach Press.