欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
传统基于避撞、组队和聚集规则的个体运动协同算法具有内聚和速度一致趋势，群体在外部信息刺激下难以自发实施分群．为此，提出一种融合了邻域跟随行为的分布式协同控制算法．该算法在短距排斥、长距吸引和速度一致行为的基础上，引入个体对于其感知域内间距变化最快的邻居的跟随运动，并通过对跟随目标的动态更新，实现了外部信息作用下群体的自组织分群行为．仿真实验验证了算法的可行性和分群有效性．
英文摘要：
Traditionally, the motion cooperative algorithms for swarm base on the interaction rules of attraction, repulsion and alignment have the properties of group cohesion and velocity consensus, which prevent the splitting of the group under multiple external stimulus. Therefore, a distributed motion cooperative algorithm is proposed by integrating a following interaction with the behaviors of long-range attraction, short-range repulsion and consensus-based alignment, where the following behavior is applied locally to one of the proximity neighbors with the fastest change of inter-individuals distance and vanished after a short acting time. Then, the swarm can split autonomously into multiple sub-groups when multiple stimulus are introduced. Finally, simulation results show the feasibility and effectiveness of the proposed algorithm for the fission control.
同期刊论文项目
同项目期刊论文
A novel control algorithm for the self-organized fission behavior of flocking system with time delay
期刊信息
位置：