DocumentCode :
1838425
Title :
Predicting the disconnection of flocking agents in a swarm
Author :
Naruse, Keitaro
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan
fYear :
2015
fDate :
7-11 July 2015
Firstpage :
1783
Lastpage :
1788
Abstract :
The objective of this paper is to develop an index that indicates how and when flocking agents become disconnected from a swarm. Each flocking agent interacts with nearby neighbor agents and determines its motion relative to the positions and velocities of the neighbor agents. The neighbor relations are dynamic and it is difficult to predict an exact motion for each of them. Our objective is to consider the effect of a target agent on a swarm. First, we model the flocking in terms of a virtual spring and damper system and develop a disconnection index between the target and another agent using the model dynamics. We then consider the degree to which the target agent can affect a group of agents using a graph topology. We evaluate the index via numerical experiments.
Keywords :
graph theory; multi-robot systems; swarm intelligence; disconnection index; flocking agents; graph topology; model dynamics; neighbor agent; swarm; target agent; virtual spring and damper system; Dynamics; Eigenvalues and eigenfunctions; Indexes; Laplace equations; Navigation; Springs; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/AIM.2015.7222805
Filename :
7222805
Link To Document :
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