This paper proposes a direct approach for solving optimal control problems. The time domain is divided into multiple subdomains, and a Lagrange interpolating polynomial using the Legendre--Gauss--Lobatto points is used to approximate the states and controls. The state equations are enforced at the Legendre--Gauss--Lobatto nodes in a nonlinear programming implementation by partial Gauss--Lobatto quadrature in each subdomain. The final state in each subdomain is enforced by a full Gauss--Lobatto quadrature. The Bolza cost functional is naturally approximated using Gauss--Lobatto quadrature across all subdomains.
@article{1033,
title = {A Gauss--Lobatto quadrature method for solving optimal control problems},
journal = {ANZIAM Journal},
volume = {46},
year = {2006},
doi = {10.21914/anziamj.v47i0.1033},
language = {EN},
url = {http://dml.mathdoc.fr/item/1033}
}
Williams, P. A Gauss--Lobatto quadrature method for solving optimal control problems. ANZIAM Journal, Tome 46 (2006) . doi : 10.21914/anziamj.v47i0.1033. http://gdmltest.u-ga.fr/item/1033/