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Optimal Control using Composite Bernstein Approximants 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.
Document ID
20240011036
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Gage MacLin
(University of Iowa Iowa City, United States)
Venanzio Cichella
(University of Iowa Iowa City, United States)
Andrew Patterson
(Langley Research Center Hampton, United States)
Michael Acheson
(Langley Research Center Hampton, United States)
Irene Gregory
(Langley Research Center Hampton, United States)
Date Acquired
August 26, 2024
Subject Category
Composite Materials
Meeting Information
Meeting: (CDC) Conference on Decision and Control
Location: Milan
Country: IT
Start Date: December 16, 2024
End Date: December 19, 2024
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: 80NSSC23M0117
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
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