An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems
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 i...
Main Authors: | Jialiang Wang, Hai Zhao, Yuanguo Bi, Shiliang Shao, Qian Liu, Xingchi Chen, Ruofan Zeng, Yu Wang, Le Ha |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/659805 |
Similar Items
-
Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm
by: Jialiang Wang, et al.
Published: (2014-01-01) -
An Improved Task Scheduling Algorithm for Intelligent Control in Tiny Mechanical System
by: Jialiang Wang, et al.
Published: (2014-01-01) -
Consensus, cooperative learning, and flocking for multiagent predator avoidance
by: Zachary Young, et al.
Published: (2020-09-01) -
Flocking Control of Mobile Robots with Obstacle Avoidance Based on Simulated Annealing Algorithm
by: Jin Cheng, et al.
Published: (2020-01-01) -
Consensus Formation Control and Obstacle Avoidance of Multiagent Systems with Directed Topology
by: Lichao Wang, et al.
Published: (2020-01-01)