电子科技 ›› 2019, Vol. 32 ›› Issue (11): 52-57.doi: 10.16180/j.cnki.issn1007-7820.2019.11.011

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基于群体智能的自组织运动控制综述

张昭,张天奇   

  1. 南京航空航天大学 计算机科学与技术学院,江苏 南京 211106
  • 收稿日期:2018-12-03 出版日期:2019-11-15 发布日期:2019-11-15
  • 作者简介:张昭(1994-),男,硕士研究生。研究方向:计算机网络,无人系统。|张天奇(1995-),男,硕士研究生。研究方向:计算机网络,网络虚拟化。
  • 基金资助:
    江苏省研究生科研与实践创新计划项目(KYCX18_0308)

A Review of Self-Organizing Motion Control Based on Swarm Intelligence

ZHANG Zhao,ZHANG Tianqi   

  1. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
  • Received:2018-12-03 Online:2019-11-15 Published:2019-11-15
  • Supported by:
    Postgraduate Research & Practice Innovation Programe of Jiangsu Province(KYCX18_0308)

摘要:

文中阐述了群体、群集、群体智能、群体控制以及群体系统等相关概念,综述了基于群体智能的自组织运动控制的相关研究工作和研究内容,包括群体控制系统模型的发展历程、群体控制中的各种群集控制策略和控制算法、群体控制系统的系统行为表现以及基于群体控制扩展的各类智能优化算法。最后文中提出了群体自组织运动控制研究的发展趋势。

关键词: 群体, 群集, 群体控制, 群体智能, 协同控制, 群体优化算法

Abstract:

This paper firstly expounded the related concepts such as swarm, collective, swarm intelligence, swarm control and swarm system, and then reviewed the related research works and contents of self-organized motion control based on swarm intelligence, including the swarm control system model, the various collective control strategies and control algorithms in the swarm control, the system behaviors based on the swarm intelligence and the various intelligent optimization algorithms based on the swarm control extension. Finally, the future development trend of swarm self-organized motion control research was pointed out.

Key words: swarm, collective, swarm control, swarm intelligence, cooperative control, colony optimization algorithm

中图分类号: 

  • TP13