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Lower Bounds on the Proportion of Leaders Needed for Expected Consensus of 3-D Flocks

Authors :
Li, Xuejing
Wang, Lin
Liu, Zhixin
Dong, Daoyi
Source :
IEEE Transactions on Neural Networks and Learning Systems; November 2017, Vol. 28 Issue: 11 p2555-2565, 11p
Publication Year :
2017

Abstract

This paper considers the consensus behavior of a spatially distributed 3-D dynamical network composed of heterogeneous agents: leaders and followers, in which the leaders have the preferred information about the destination, while the followers do not have. All followers move in a 3-D Euclidean space with a given speed and with their headings updated according to the average velocity of the corresponding neighbors. Compared with the 2-D model, a key point lies in how to analyze the dynamical behavior of a “linear” nonhomogeneous equation where the nonhomogeneous term strongly nonlinearly depends on the states of all agents. Using the network structure and the estimation of some characteristics for the initial states, we present a proper decaying rate for the nonhomogeneous term and then establish lower bounds on the ratio of the number of leaders to the number of followers that is needed for the expected consensus by considering two cases: 1) fixed speed and neighborhood radius and 2) variable speed and neighborhood radius with respect to the population size. Some simulation examples are given to justify the theoretical results.

Details

Language :
English
ISSN :
2162237x and 21622388
Volume :
28
Issue :
11
Database :
Supplemental Index
Journal :
IEEE Transactions on Neural Networks and Learning Systems
Publication Type :
Periodical
Accession number :
ejs43628884
Full Text :
https://doi.org/10.1109/TNNLS.2016.2598576