Title :
Solution of constrained optimal control problems using multiple shooting and ESDIRK methods
Author :
Capolei, A. ; Jorgensen, John Bagterp
Author_Institution :
Dept. of Inf. & Math. Modeling, Tech. Univ. of Denmark, Lyngby, Denmark
Abstract :
In this paper, we describe a novel numerical algorithm for solution of constrained optimal control problems of the Bolza type for stiff and/or unstable systems. The numerical algorithm combines explicit singly diagonally implicit Runge-Kutta (ESDIRK) integration methods with a multiple shooting algorithm. As we consider stiff systems, implicit solvers with sensitivity computation capabilities for initial value problems must be used in the multiple shooting algorithm. Traditionally, multi-step methods based on the BDF algorithm have been used for such problems. The main novel contribution of this paper is the use of ESDIRK integration methods for solution of the initial value problems and the corresponding sensitivity equations arising in the multiple shooting algorithm. Compared to BDF-methods, ESDIRK-methods are advantageous in multiple shooting algorithms in which restarts and frequent discontinuities on each shooting interval are present. The ESDIRK methods are implemented using an inexact Newton method that reuses the factorization of the iteration matrix for the integration as well as the sensitivity computation. Numerical experiments are provided to demonstrate the algorithm.
Keywords :
Newton method; Runge-Kutta methods; matrix decomposition; optimal control; BDF algorithm; Bolza type; ESDIRK integration methods; ESDIRK methods; ESDIRK-methods; constrained optimal control problems; explicit singly diagonally implicit Runge-Kutta; frequent discontinuities; inexact Newton method; initial value problems; iteration matrix factorization; multiple shooting algorithms; multistep methods; numerical algorithm; sensitivity computation capabilities; sensitivity equations; shooting interval; stiff systems; unstable systems; Approximation methods; Equations; Jacobian matrices; Mathematical model; Optimal control; Sensitivity; Vectors;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315474