DocumentCode
1761333
Title
Cooperative source localisation of multi-agent system based on a cooperative PE condition
Author
Jing-Ping Shao ; Yu-Ping Tian
Author_Institution
Sch. of Autom., Southeast Univ., Nanjing, China
Volume
9
Issue
1
fYear
2015
fDate
1 2 2015
Firstpage
42
Lastpage
51
Abstract
This study deals with cooperative source localisation with a group of agents where the source is static/dynamic. In stead of the traditionally defined persistent excitation (PE) condition, it is shown that a looser condition - cooperative PE condition - is sufficient for the source localisation provided the topology graph is connected. An estimator is designed to estimate the relative coordinate among agents; a local cooperative estimator based on cooperative PE condition is designed to estimate the relative location of the source; based on the first two steps, a consensus-based estimation fusion algorithm is given to guarantee that estimation errors asymptotically converge to 0. The cooperative localisation method is then extended to the case of a dynamic source and is analysed for the disturbance case. Finally, several simulation results are provided to show the correctness of the conclusion and the effectiveness of the proposed method.
Keywords
graph theory; multi-robot systems; consensus-based estimation fusion algorithm; cooperative PE condition; cooperative localisation method; cooperative source localisation; multi-agent system; persistent excitation condition; topology graph;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2014.0049
Filename
6987398
Link To Document