DocumentCode
2386970
Title
Decentralized estimation and control of graph connectivity in mobile sensor networks
Author
Yang, Peng ; Freeman, Randy A. ; Gordon, Geoffrey J. ; Lynch, Kevin M. ; Srinivasa, Siddhartha S. ; Sukthankar, Rahul
Author_Institution
Dept. of Mech. Eng., Northwestern Univ., Evanston, IL
fYear
2008
fDate
11-13 June 2008
Firstpage
2678
Lastpage
2683
Abstract
The ability of a robot team to reconfigure itself is useful in many applications: for metamorphic robots to change shape, for swarm motion towards a goal, for biological systems to avoid predators, or for mobile buoys to clean up oil spills. In many situations, auxiliary constraints, such as connectivity between team members and limits on the maximum hop-count, must be satisfied during reconfiguration. In this paper, we show that both the estimation and control of the graph connectivity can be accomplished in a decentralized manner. We describe a decentralized estimation procedure that allows each agent to track the algebraic connectivity of a time-varying graph. Based on this estimator, we further propose a decentralized gradient controller for each agent to maintain global connectivity during motion.
Keywords
continuous time systems; decentralised control; eigenvalues and eigenfunctions; graph theory; iterative methods; matrix algebra; mobile robots; wireless sensor networks; decentralized continuous-time power iteration algorithm; decentralized estimation algorithm; decentralized gradient controller; eigenvector; mobile robots; mobile sensor networks; time-varying graph algebraic connectivity; weighted Laplacian matrix; Biological control systems; Biosensors; Communication system control; Control systems; Laplace equations; Mobile robots; Motion control; Motion estimation; Robot sensing systems; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586897
Filename
4586897
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