DocumentCode :
2479024
Title :
Optimal Dynamic Assignment for Low Earth Orbit Satellite Constellations
Author :
Melin, Alexander ; Erwin, R. Scott ; Chellaboina, VijaySekhar
Author_Institution :
Dept. of Mech., Aerosp. & Biomed. Eng., Tennessee Univ., Knoxville, TN, USA
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
3204
Lastpage :
3209
Abstract :
In this paper we investigate the problem of autonomous task assignment for a class of uncertain systems described by dynamic weighted bipartite graphs. Specifically, we consider the optimal assignment problem for this class of system. First, we present necessary and sufficient conditions for the existence of a perfect matching in a given bipartite graph. Next, we present an algorithm to expand the original graph to a virtual graph that guarantees the existence of a perfect matching. These results are then used to solve the optimal assignment problem for dynamic weighted bipartite graphs. Finally, we apply this algorithm to a group of low-earth orbit satellites that have the task of tracking multiple ground targets simultaneously.
Keywords :
artificial satellites; graph theory; linear programming; uncertain systems; dynamic graph topology; dynamic task allocation; dynamic weighted bipartite graph; graph theory; linear programming; low earth orbit satellite constellations; necessary condition; optimal dynamic assignment problem; sufficient condition; uncertain systems; Artificial satellites; Bipartite graph; Dynamic programming; Graph theory; Job shop scheduling; Linear programming; Low earth orbit satellites; Measurement; Satellite constellations; Target tracking; Linear programming; dynamic assignment problem; dynamic graph topology; dynamic task allocation; graph theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377470
Filename :
4177782
Link To Document :
بازگشت