![](/images/graphics-bg.png)
An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems
Joint Authors
Shao, Shiliang
Zeng, Ruofan
Bi, Yuanguo
Chen, Xingchi
Wang, Yu
Zhao, Hai
Wang, Jialiang
Liu, Qian
Ha, Le
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Flocking behavior is a common phenomenon in nature, such as flocks of birds and groups of fish.
In order to make the agents effectively avoid obstacles and fast form flocking towards the direction of destination point, this paper proposes a fast multiagent obstacle avoidance (FMOA) algorithm.
FMOA is illustrated based on the status of whether the flocking has formed.
If flocking has not formed, agents should avoid the obstacles toward the direction of target.
If otherwise, these agents have reached the state of lattice and then these agents only need to avoid the obstacles and ignore the direction of target.
The experimental results show that the proposed FMOA algorithm has better performance in terms of flocking path length.
Furthermore, the proposed FMOA algorithm is applied to the formation flying of quad-rotor helicopters.
Compared with other technologies to perform the localization of quad-rotor helicopter, this paper innovatively constructs a smart environment by deploying some wireless sensor network (WSN) nodes using the proposed localization algorithm.
Finally, the proposed FMOA algorithm is used to conduct the formation flying of these quad-rotor helicopters in the smart environment.
American Psychological Association (APA)
Wang, Jialiang& Zhao, Hai& Bi, Yuanguo& Shao, Shiliang& Liu, Qian& Chen, Xingchi…[et al.]. 2014. An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-489062
Modern Language Association (MLA)
Wang, Jialiang…[et al.]. An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems. Journal of Applied Mathematics No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-489062
American Medical Association (AMA)
Wang, Jialiang& Zhao, Hai& Bi, Yuanguo& Shao, Shiliang& Liu, Qian& Chen, Xingchi…[et al.]. An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-489062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489062