Author
Listed:
- Xinbiao Lu
(School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China)
- Chi Zhang
(School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China)
- Fang Li
(School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China)
- Yiqin Li
(School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China)
- Buzhi Qin
(Department of Automation, Nanjing Polytechnic Institute, Nanjing 210048, P. R. China)
Abstract
In the original Vicsek model, each particle needs to know its total neighbors’ direction and does not distinguish the coupling strength between them. However, it is very slow to achieve consensus when the density of particles is too high. In this paper, in order to differentiate the coupling strength according to the Euclidean distance between particles, we proposed a new rule and introduced two improved Vicsek models based on this rule. The improved model I puts the exponential symbolic coupling function into the original Vicsek model, and the improved model II puts the exponential Sigmoid coupling function into the original Vicsek model. Simulations show these two kinds of improved Vicsek models all have less convergence steps than the original Vicsek model under different system parameters. Furthermore, when the exponent increases from 1, the convergence steps could be further reduced, then gradually stay unchanged.
Suggested Citation
Xinbiao Lu & Chi Zhang & Fang Li & Yiqin Li & Buzhi Qin, 2022.
"Two improved Vicsek models with different coupling strengths between particles,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-16, May.
Handle:
RePEc:wsi:ijmpcx:v:33:y:2022:i:05:n:s0129183122500590
DOI: 10.1142/S0129183122500590
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:33:y:2022:i:05:n:s0129183122500590. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.