Title :
Cooperative source localization of multi-agent system based on a cooperative PE condition
Author :
Shao Jing-Ping ; Tian Yu-Ping
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
This paper deals with cooperative source localization with a group of agents where the source is static/dynamic. By making efficient use of the topology information, a loose condition-cooperative PE condition is obtained which is weaker than the traditionally defined PE condition. Since the agents that can directly connect to the source may exchange information with each other, a local cooperative estimator is designed to estimate the relative location of the source for them. We further study the cooperative source localization with a dynamic source, and obtain the corresponding conclusion. Finally, a simulation is provided to show the effectiveness of the proposed methods.
Keywords :
estimation theory; multi-agent systems; network theory (graphs); sensor placement; cooperative PE condition; cooperative estimation; cooperative source localization; dynamic source; information exchange; multiagent system; relative location estimation; Equations; Estimation error; Laplace equations; Mobile agents; Multi-agent systems; Stability analysis; Cooperative PE Condition; Graph Analysis; Multi-Agent System; Source Localization;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896781