Path optimization using sub-Riemannian manifolds with applications to astrodynamics

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.

Bibliographic Details
Main Author: Whiting, James K. (James Kalani), 1980-
Other Authors: Olivier deWeck, Manuel Martinez-Sanchez and Ray Sedwick.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/63035
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author Whiting, James K. (James Kalani), 1980-
author2 Olivier deWeck, Manuel Martinez-Sanchez and Ray Sedwick.
author_facet Olivier deWeck, Manuel Martinez-Sanchez and Ray Sedwick.
Whiting, James K. (James Kalani), 1980-
author_sort Whiting, James K. (James Kalani), 1980-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.
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spelling mit-1721.1/630352019-04-12T20:37:37Z Path optimization using sub-Riemannian manifolds with applications to astrodynamics Whiting, James K. (James Kalani), 1980- Olivier deWeck, Manuel Martinez-Sanchez and Ray Sedwick. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 131). Differential geometry provides mechanisms for finding shortest paths in metric spaces. This work describes a procedure for creating a metric space from a path optimization problem description so that the formalism of differential geometry can be applied to find the optimal paths. Most path optimization problems will generate a sub-Riemannian manifold. This work describes an algorithm which approximates a sub-Riemannian manifold as a Riemannian manifold using a penalty metric so that Riemannian geodesic solvers can be used to find the solutions to the path optimization problem. This new method for solving path optimization problems shows promise to be faster than other methods, in part because it can easily run on parallel processing units. It also provides some geometrical insights into path optimization problems which could provide a new way to categorize path optimization problems. Some simple path optimization problems are described to provide an understandable example of how the method works and an application to astrodynamics is also given. by James K. Whiting. Ph.D. 2011-05-23T18:06:00Z 2011-05-23T18:06:00Z 2011 2011 Thesis http://hdl.handle.net/1721.1/63035 722474695 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 131 p. application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Whiting, James K. (James Kalani), 1980-
Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title_full Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title_fullStr Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title_full_unstemmed Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title_short Path optimization using sub-Riemannian manifolds with applications to astrodynamics
title_sort path optimization using sub riemannian manifolds with applications to astrodynamics
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/63035
work_keys_str_mv AT whitingjameskjameskalani1980 pathoptimizationusingsubriemannianmanifoldswithapplicationstoastrodynamics