DocumentCode :
1220569
Title :
Formation Reorganization by Primitive Operations on Directed Graphs
Author :
Hendrickx, J.M. ; Fidan, B. ; Changbin Yu ; Anderson, B.D.O. ; Blondel, V.D.
Author_Institution :
Dept. of Math. Eng., Univ. Catholique de Louvain, Louvain-la-Neuve
Volume :
53
Issue :
4
fYear :
2008
fDate :
5/1/2008 12:00:00 AM
Firstpage :
968
Lastpage :
979
Abstract :
In this paper, we study the construction and transformation of 2-D persistent graphs. Persistence is a generalization to directed graphs of the undirected notion of rigidity. Both notions are currently being used in various studies on coordination and control of autonomous multiagent formations. In the context of mobile autonomous agent formations, persistence characterizes the efficacy of a directed formation structure with unilateral distance constraints seeking to preserve the shape of the formation. Analogously to the powerful results about Henneberg sequences in minimal rigidity theory, we propose different types of directed graph operations allowing one to sequentially build any minimally persistent graph (i.e., persistent graph with a minimal number of edges for a given number of vertices), each intermediate graph being also minimally persistent. We also consider the more generic problem of obtaining one minimally persistent graph from another, which corresponds to the online reorganization of the sensing and control architecture of an autonomous agent formation. We prove that we can obtain any minimally persistent formation from any other one by a sequence of elementary local operations such that minimal persistence is preserved throughout the reorganization process. Finally, we briefly explore how such transformations can be performed in a decentralized way.
Keywords :
directed graphs; mobile robots; multi-robot systems; position control; remotely operated vehicles; 2D persistent graphs; Henneberg sequences; directed formation structure; directed graphs; formation reorganization; mobile autonomous agent formations; Australia; Autonomous agents; Intelligent vehicles; Land vehicles; Mobile robots; Remotely operated vehicles; Road vehicles; Robot kinematics; Shape; Underwater vehicles; Graphs; multiagent formation; networks; persistence; rigidity; robots;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2008.920239
Filename :
4522613
Link To Document :
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