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An Application of PL Continuation Methods to Singular Arcs Problems

In: Recent Advances in Optimization

Author

Listed:
  • Pierre Martinon

    (UMR CNRS 5505)

  • Joseph Gergaud

    (UMR CNRS 5505)

Abstract

Summary Among optimal control problems, singular arcs problems are interesting and difficult to solve with indirect methods, as they involve a multi-valued control and differential inclusions. Multiple shooting is an efficient way to solve this kind of problems, but typically requires some a priori knowledge of the control structure. We limit here ourselves to the case where the Hamiltonian is linear with respect to the control u, and primarily use a quadratic (u 2) perturbation of the criterion. The aim of this continuation approach is to obtain an approximate solution that can provide reliable information concerning the singular structure. We choose to use a PL (simplicial) continuation method, which can be more easily adapted to the multi-valued case. We will first present some convergence results regarding the continuation, and then study the numerical resolution of two example problems. All numerical experiments were conducted with the Simplicial package we developed.

Suggested Citation

  • Pierre Martinon & Joseph Gergaud, 2006. "An Application of PL Continuation Methods to Singular Arcs Problems," Lecture Notes in Economics and Mathematical Systems, in: Alberto Seeger (ed.), Recent Advances in Optimization, pages 163-186, Springer.
  • Handle: RePEc:spr:lnechp:978-3-540-28258-7_11
    DOI: 10.1007/3-540-28258-0_11
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    Cited by:

    1. M. Soledad Aronna & J. Frédéric Bonnans & Pierre Martinon, 2013. "A Shooting Algorithm for Optimal Control Problems with Singular Arcs," Journal of Optimization Theory and Applications, Springer, vol. 158(2), pages 419-459, August.

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