An efficient discretization scheme for solving nonlinear optimal control problems with multiple time delays

An efficient discretization scheme for solving nonlinear optimal control problems with multiple time delays

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Article ID: iaor20162593
Volume: 37
Issue: 4
Start Page Number: 682
End Page Number: 707
Publication Date: Jul 2016
Journal: Optimal Control Applications and Methods
Authors: ,
Keywords: optimization, programming: nonlinear, heuristics
Abstract:

This paper presents a composite Chebyshev finite difference method to numerically solve nonlinear optimal control problems with multiple time delays. The proposed discretization scheme is based on a hybrid of block‐pulse functions and Chebyshev polynomials using the well‐known Chebyshev Gauss–Lobatto points. Our approach is an extension and also a modification of the Chebyshev finite difference scheme. A direct approach is used to transform the delayed optimal control problem into a nonlinear programming problem whose solution is much more easier than the original one. Some useful error bounds are established. In addition, the convergence of the method is discussed. A wide variety of numerical experiments are investigated to show the usefulness and effectiveness of the proposed discretization procedure. The method has a simple structure and can be implemented without too much effort. Copyright 2015 John Wiley & Sons, Ltd.

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