DocumentCode
1819018
Title
Formation control of mobile agent groups based on localization
Author
Oh, Kwang-Kyo ; Ahn, Hyo-Sung
Author_Institution
Sch. of Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
fYear
2011
fDate
28-30 Sept. 2011
Firstpage
822
Lastpage
827
Abstract
In this paper, we study localization based formation control of mobile agent groups by using relative and partial measurements. Though formation control and localization are linked to each other, they have separately been addressed in the literature. As a novel approach, we propose a formation control strategy based on localization information for single- and double-integrator modeled agent groups. Subsequently, we show that the formation of a single-integrator modeled agent group globally exponentially converges to the desired formation with the estimated formation globally exponentially converging to the actual formation up to translation if and only if the interaction graph of the group contains a spanning tree. Furthermore, we provide a necessary and sufficient condition for the global exponential convergence of the formation of a double-integrator modeled agent group to the desired formation. Simulation results validate the effectiveness of the proposed strategy.
Keywords
SLAM (robots); convergence; mobile robots; multi-robot systems; position control; trees (mathematics); double-integrator modeled agent group; formation control strategy; global exponential convergence; interaction graph; localization information; mobile agent group; partial measurement; position control; relative measurement; single-integrator modeled agent group; spanning tree; Convergence; Eigenvalues and eigenfunctions; Equations; Mathematical model; Nickel; Observers; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 2011 IEEE International Symposium on
Conference_Location
Denver, CO
ISSN
2158-9860
Print_ISBN
978-1-4577-1104-6
Electronic_ISBN
2158-9860
Type
conf
DOI
10.1109/ISIC.2011.6045397
Filename
6045397
Link To Document