DocumentCode :
2818387
Title :
Shortest 3-dimensional paths with a prescribed curvature bound
Author :
Sussmann, Héctor J.
Author_Institution :
Dept. of Math., Rutgers Univ., New Brunswick, NJ, USA
Volume :
4
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
3306
Abstract :
We present the solution of the three-dimensional case of a problem regarding the structure of minimum-length paths with a prescribed curvature bound and prescribed initial and terminal positions and directions. In particular, we disprove a conjecture, according to which every minimizer is a concatenation of circles and straight lines. We show that there are many minimizers-the “helicoidal arcs”-that are not of this form. These arcs are smooth and are characterized by the fact that their torsion satisfies a second-order ordinary differential equation. The solution is obtained by applying optimal control theory. An essential feature of the problem is that it requires the use of optimal control on manifolds. The natural state space of the problem is the product of three-dimensional Euclidean space and a two-dimensional sphere. Although the problem is obviously embeddable in 6-dimensional Euclidean space, the maximum principle for the embedded problem yields no information, whereas a careful application of the maximum principle on manifolds yields a very strong result, namely, that every minimizer is either a helicoidal arc or of the form C, S, CS, SC, CSC, CCC, where C, S stand for “circle” and “segment”, respectively
Keywords :
differential equations; geometry; maximum principle; minimisation; optimal control; 2D sphere; 3D Euclidean space; helicoidal arcs; minimum-length path structure; optimal control theory; prescribed curvature bound; second-order ordinary differential equation; shortest 3D paths; torsion; Differential equations; Extraterrestrial measurements; Length measurement; Mathematics; Optimal control; Position measurement; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.478997
Filename :
478997
Link To Document :
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