0
Technical Briefs

On the Number of Informed Agents and Their Initial Positions in a Free Flocking

[+] Author and Article Information
Mohammad Haeri

e-mail: haeri@sina.sharif.edu
Advanced Control Systems Lab,
Electrical Engineering Department,
Sharif University of Technology,
Tehran 11155-4363, Iran

Contributed by Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT AND CONTROL. Manuscript received March 22, 2011; final manuscript received March 16, 2013; published online May 29, 2013. Assoc. Editor: Qian Wang.

J. Dyn. Sys., Meas., Control 135(5), 054501 (May 29, 2013) (7 pages) Paper No: DS-11-1082; doi: 10.1115/1.4024172 History: Received March 22, 2011; Revised March 16, 2013

In a multi-agent system, the number and initial position of informed agents play a major role in the convergence of uninformed agents. In this paper, three different patterns of informed agents' initial positions are studied to see how the convergence percentage can be affected by the number of informed agents. The proposed initial locations are intuitive and inferred from the collective behavior in humans. To evaluate efficiency of the proposed methods and to compare them from different points of view, large number of computer simulations is performed and results are analyzed.

Copyright © 2013 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

The desired square

Grahic Jump Location
Fig. 2

Initial positions of the informed agents in the square configuration

Grahic Jump Location
Fig. 3

Initial positions of the informed agents in the circle configuration

Grahic Jump Location
Fig. 9

Percentage of converged uninformed agents

Grahic Jump Location
Fig. 8

Percentage of converged uninformed agents

Grahic Jump Location
Fig. 7

Number of informed agents with respect to xr and for different σ

Grahic Jump Location
Fig. 6

Number of informed agents with respect to σ and four different xr

Grahic Jump Location
Fig. 5

Number of informed agents with respect to σ and four different p

Grahic Jump Location
Fig. 4

Initial positions of the informed agents in the triangle configuration

Grahic Jump Location
Fig. 15

Convergence time for different values of p

Grahic Jump Location
Fig. 10

Percentage of converged uninformed agents for different values of xr

Grahic Jump Location
Fig. 11

Time required for forming a quasi-flock for different values of nu

Grahic Jump Location
Fig. 12

Time needed for forming a quasi-flock for different values of p

Grahic Jump Location
Fig. 13

Time for forming a quasi-flock for different values of xr

Grahic Jump Location
Fig. 14

Convergence time for different number of uninformed agents nu

Grahic Jump Location
Fig. 16

Convergence time for different values of xr

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In