群体行为
计算机科学
智能控制
控制(管理)
群体智能
光学(聚焦)
群机器人
智能决策支持系统
系统工程
工程类
人工智能
粒子群优化
机器学习
光学
物理
作者
Xiaoping Xu,Xiaoting Yan,Wen-yuan Yang,Kai Nan An,Wei Huang,Yuan Wang
标识
DOI:10.1016/j.paerosci.2022.100869
摘要
The intelligent swarm concept has attracted much interest in recent years. Intelligent swarms have been deployed in many real-world applications, such as transportations, target tracking, search and rescue. Since most of these applications usually have very complex goals, the cooperative control approaches of intelligent swarms are very important, and the requirements of better utilizations of intelligent swarms make the efficient control of swarms a critical challenge that needs to overcome. This article reviews the profound cooperative control approaches of intelligent swarms, mainly focus on three kinds of typical intelligent swarms, UAV swarm, missile swarm and hypersonic aircraft swarm. The formation control approaches and decision-making approaches are both surveyed, as well as some typical real-world scenarios. Each approach is investigated based on different criteria, which highlights its distinct advantages and disadvantages. Finally, we present some discussions and recommendations for further investigation.
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