Optimal fractional order of self-propelled particles in the synchronization motion - Details

Author：

Zhang, Xiangyin (Zhang, Xiangyin.) | Jian, Meng (Jian, Meng.) | Jia, Songmin (Jia, Songmin.) (Scholars：贾松敏) | Li, Xiuzhi (Li, Xiuzhi.)

Indexed by：

EI Scopus

Abstract：

This　paper　proposed　a　novel　fractional-order　Vicsek　model　(FOVM),　which　can　effectively　improve　the　convergence　performance　of　the　original　Vicsek　model.　Numeral　experiment　results　show　that　there　is　the　optimal　value　of　the　fractional　order　of　the　FOVM　with　which　the　self-propelled　particles　can　achieve　the　best　convergence　performance.　©　2017　Technical　Committee　on　Control　Theory,　CAA.

Keyword：

Author Community：

[ 1 ] [Zhang, Xiangyin]Faulty of Information Technology, Beijing University of Technology, Beijing, China
[ 2 ] [Zhang, Xiangyin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
[ 3 ] [Zhang, Xiangyin]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China
[ 4 ] [Jian, Meng]Faulty of Information Technology, Beijing University of Technology, Beijing, China
[ 5 ] [Jian, Meng]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
[ 6 ] [Jian, Meng]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China
[ 7 ] [Jia, Songmin]Faulty of Information Technology, Beijing University of Technology, Beijing, China
[ 8 ] [Jia, Songmin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
[ 9 ] [Jia, Songmin]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China
[ 10 ] [Li, Xiuzhi]Faulty of Information Technology, Beijing University of Technology, Beijing, China
[ 11 ] [Li, Xiuzhi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
[ 12 ] [Li, Xiuzhi]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China

Reprint Author's Address：

Email：

Show more details

Related Keywords：

Source ：

ISSN： 1934-1768

Year： 2017

Page： 11374-11378

Language： English

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 18

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

Get Fulltext

DOI Library Discovery Baidu Scholar Search Engineering Village

Type
Departments

All Years Choose Year From to