Optimal Control using Composite Bernstein Approximants

Fuente: arXiv
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Autori principali: MacLin, Gage, Cichella, Venanzio, Patterson, Andrew, Acheson, Michael, Gregory, Irene
Natura: Preprint
Pubblicazione: 2024
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author MacLin, Gage
Cichella, Venanzio
Patterson, Andrew
Acheson, Michael
Gregory, Irene
author_facet MacLin, Gage
Cichella, Venanzio
Patterson, Andrew
Acheson, Michael
Gregory, Irene
contents In this work, we present composite Bernstein polynomials as a direct collocation method for approximating optimal control problems. An analysis of the convergence properties of composite Bernstein polynomials is provided, and beneficial properties of composite Bernstein polynomials for the solution of optimal control problems are discussed. The efficacy of the proposed approximation method is demonstrated through a bang-bang example. Lastly, we apply this method to a motion planning problem, offering a practical solution that emphasizes the ability of this method to solve complex optimal control problems.
format Preprint
id arxiv_https___arxiv_org_abs_2407_18081
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal Control using Composite Bernstein Approximants
MacLin, Gage
Cichella, Venanzio
Patterson, Andrew
Acheson, Michael
Gregory, Irene
Optimization and Control
Numerical Analysis
Systems and Control
In this work, we present composite Bernstein polynomials as a direct collocation method for approximating optimal control problems. An analysis of the convergence properties of composite Bernstein polynomials is provided, and beneficial properties of composite Bernstein polynomials for the solution of optimal control problems are discussed. The efficacy of the proposed approximation method is demonstrated through a bang-bang example. Lastly, we apply this method to a motion planning problem, offering a practical solution that emphasizes the ability of this method to solve complex optimal control problems.
title Optimal Control using Composite Bernstein Approximants
topic Optimization and Control
Numerical Analysis
Systems and Control
url https://arxiv.org/abs/2407.18081