Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction
In nature, gregarious animals, insects, or bacteria usually exhibit paradoxical behaviors in the form of group fission and fusion, which exerts an important influence on group’s pattern formation, information transfer, and epidemiology. However, the fission-fusion dynamics have received little atten...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/2187812 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548813176307712 |
|---|---|
| author | Panpan Yang Maode Yan Jiacheng Song Ye Tang |
| author_facet | Panpan Yang Maode Yan Jiacheng Song Ye Tang |
| author_sort | Panpan Yang |
| collection | DOAJ |
| description | In nature, gregarious animals, insects, or bacteria usually exhibit paradoxical behaviors in the form of group fission and fusion, which exerts an important influence on group’s pattern formation, information transfer, and epidemiology. However, the fission-fusion dynamics have received little attention compared to other flocking behavior. In this paper, an intermittent selective interaction based control algorithm for the self-organized fission-fusion behavior of flocking system is proposed, which bridges the gap between the two conflicting behaviors in a unified fashion. Specifically, a hybrid velocity coordination strategy that includes both the egalitarian and selective interactions is proposed, where the egalitarian interaction is to maintain the flock’s order and achieve the fusion behavior while the selective interaction strategy is for the response to external stimulus information and generates the fission behavior. Numerical simulations demonstrate that the proposed control algorithm can realize the self-organized fission-fusion behavior of flocking system under a unified framework. The influences of the main control parameters on the performance of the fission-fusion behavior are also discussed. In particular, the trade-off parameter α balances the exploration (fission) and exploitation (fusion) behaviors of flocking system and significantly enhances its movement flexibility and environmental adaptivity. |
| format | Article |
| id | doaj-art-4a05f133c6bc40aea37b108c519aef9e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4a05f133c6bc40aea37b108c519aef9e2025-02-03T06:12:55ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/21878122187812Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective InteractionPanpan Yang0Maode Yan1Jiacheng Song2Ye Tang3School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Electronic and Control Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Electronic and Control Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Electronic and Control Engineering, Chang’an University, Xi’an 710064, ChinaIn nature, gregarious animals, insects, or bacteria usually exhibit paradoxical behaviors in the form of group fission and fusion, which exerts an important influence on group’s pattern formation, information transfer, and epidemiology. However, the fission-fusion dynamics have received little attention compared to other flocking behavior. In this paper, an intermittent selective interaction based control algorithm for the self-organized fission-fusion behavior of flocking system is proposed, which bridges the gap between the two conflicting behaviors in a unified fashion. Specifically, a hybrid velocity coordination strategy that includes both the egalitarian and selective interactions is proposed, where the egalitarian interaction is to maintain the flock’s order and achieve the fusion behavior while the selective interaction strategy is for the response to external stimulus information and generates the fission behavior. Numerical simulations demonstrate that the proposed control algorithm can realize the self-organized fission-fusion behavior of flocking system under a unified framework. The influences of the main control parameters on the performance of the fission-fusion behavior are also discussed. In particular, the trade-off parameter α balances the exploration (fission) and exploitation (fusion) behaviors of flocking system and significantly enhances its movement flexibility and environmental adaptivity.http://dx.doi.org/10.1155/2019/2187812 |
| spellingShingle | Panpan Yang Maode Yan Jiacheng Song Ye Tang Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction Complexity |
| title | Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction |
| title_full | Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction |
| title_fullStr | Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction |
| title_full_unstemmed | Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction |
| title_short | Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction |
| title_sort | self organized fission fusion control algorithm for flocking systems based on intermittent selective interaction |
| url | http://dx.doi.org/10.1155/2019/2187812 |
| work_keys_str_mv | AT panpanyang selforganizedfissionfusioncontrolalgorithmforflockingsystemsbasedonintermittentselectiveinteraction AT maodeyan selforganizedfissionfusioncontrolalgorithmforflockingsystemsbasedonintermittentselectiveinteraction AT jiachengsong selforganizedfissionfusioncontrolalgorithmforflockingsystemsbasedonintermittentselectiveinteraction AT yetang selforganizedfissionfusioncontrolalgorithmforflockingsystemsbasedonintermittentselectiveinteraction |