An a posteriori error estimate for symplectic Euler approximation of optimal control problems
Preprint, 2014

This work focuses on numerical solutions of optimal control problems. A time discretization error representation is derived for the approximation of the associated value function. It concerns Symplectic Euler solutions of the Hamiltonian system connected with the optimal control problem. The error representation has a leading order term consisting of an error density that is computable from Symplectic Euler solutions. Under an assumption of the pathwise convergence of the approximate dual function as the maximum time step goes to zero, we prove that the remainder is of higher order than the leading error density part in the error representation. With the error representation, it is possible to perform adaptive time stepping. We apply an adaptive algorithm originally developed for ordinary differential equations. The performance is illustrated by numerical tests.

Error Estimates

Adaptivity

Optimal Control

Error Control

Author

Jesper Karlsson

Stig Larsson

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Mattias Sandberg

Anders Szepessy

Raul Tempone

Subject Categories

Computational Mathematics

Roots

Basic sciences

More information

Created

10/7/2017