Pseudospectral Methods for Infinite-Horizon Optimal Control Problems
Abstract
A central computational issue in solving infinite-horizon nonlinear optimal control problems is the treatment of the
horizon. In this paper, we directly address this issue by a domain transformation technique that maps the infinite
horizon to a finite horizon. The transformed finite horizon serves as the computational domain for an application of
pseudospectral methods. Although any pseudospectral method may be used, we focus on the Legendre
pseudospectral method. It is shown that the proper class of Legendre pseudospectral methods to solve infinitehorizon
problems are the Radau-based methods with weighted interpolants. This is in sharp contrast to the
unweighted pseudospectral techniques for optimal control. The Legendre–Gauss–Radau pseudospectral method is
thus developed to solve nonlinear constrained optimal control problems. An application of the covector mapping
principle for the Legendre–Gauss–Radau pseudospectral method generates a covector mapping theorem that
provides an efficient approach for the verification and validation of the extremality of the computed solution. Several
example problems are solved to illustrate the ideas.
Description
The article of record as published may be found at http://dx.doi.org/10.2514/1.33117
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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