Nonlinear optimal control: a numerical scheme based on occupation measures and interval analysis

Nicolas Delanoue (), Mehdi Lhommeau () and Sébastien Lagrange ()
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Nicolas Delanoue: LARIS, Université d’Angers
Mehdi Lhommeau: LARIS, Université d’Angers
Sébastien Lagrange: LARIS, Université d’Angers

Computational Optimization and Applications, 2020, vol. 77, issue 1, No 10, 307-334

Abstract: Abstract This paper presents an approximation scheme for optimal control problems using finite-dimensional linear programs and interval analysis. This is done in two parts. Following Vinter approach (SIAM J Control Optim 31(2):518–538, 1993) and using occupation measures, the optimal control problem is written into a linear programming problem of infinite-dimension (weak formulation). Thanks to Interval arithmetic, we provide a relaxation of this infinite-dimensional linear programming problem by a finite dimensional linear programming problem. A proof that the optimal value of the finite dimensional linear programming problem is a lower bound to the optimal value of the control problem is given. Moreover, according to the fineness of the discretization and the size of the chosen test function family, obtained optimal values of each finite dimensional linear programming problem form a sequence of lower bounds which converges to the optimal value of the initial optimal control problem. Examples will illustrate the principle of the methodology.

Keywords: Nonlinear optimal control; Interval arithmetic; Continuous programming; Optimization (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10589-020-00198-8

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