系统工程与电子技术

• 软件、算法与仿真 • 上一篇    下一篇

基于多控制智能体的改进shepherding行为

李  猛1, 梁加红1, 李石磊2   

  1. 1. 国防科学技术大学机电工程与自动化学院, 湖南 长沙 410073;
    2. 海军工程大学信息安全系, 湖北 武汉 430033
  • 出版日期:2013-10-25 发布日期:2010-01-03

Improved shepherding behavior with multiple shepherds

LI Meng1, LIANG Jia-hong1, LI Shi-lei2   

  1. 1. College of Mechanical Engineering and Automation, National University of Defense Technology, Changsha 410073, China;
    2. Department of Information Security, Naval University of Engineering, Wuhan 430033, China
  • Online:2013-10-25 Published:2010-01-03

摘要:

针对目前shepherding行为生成方法中,shepherd的运动方式缺乏速度和时间约束的缺陷,提出了一种改进的shepherding行为生成方法。通过在shepherd的路径规划中,把基于概率路径图(probabilistic roadmap, PRM)的多智能体解耦式规划方法和基于速度调节的时变规划算法相结合,使得shepherd的运动满足时间和速度的约束,同时利用优先级策略实现shepherd之间的信息交互能力,因此产生的shepherding行为更加真实。仿真结果表明,改进的shepherding行为更符合骚乱事件中真实人的运动特性。

Abstract:

According to current shepherding behavior, motions of the shepherds lack of the restrictions of time and velocity. An improved method is presented to solve this problem. By combining multi-agent decoupled planning based on probabilistic roadmap and timevarying planning based on velocity-tuning method, the motions of the shepherds satisfy the restrictions. Communication capacity among shepherds is also realized by means of priorities. Thus, a more realistic shepherding behavior is achieved. Simulation tests show that the improved shepherding behavior accords with the characteristics of the real people in riot events more ideally.