拓扑结构抗毁性对多智能体系统分布式协同控制完成既定的目标任务具有重要意义。文中研究多智能体系统拓扑结构,提出基于权重的分簇方法,通过虚拟骨干网的分布式提取,完成层次型拓扑结构的构建。在基于簇的层次型结构的基础上,提出关节点判断与中继节点运动控制相结合的分布式方法,实现网络的双连通,并阐述该方法在网络化火控系统中的应用。实验表明文中提出的概念和方法能提高多智能体系统拓扑结构的灵活性和抗毁性,为网络化无人作战理论在实践中的应用打下良好基础。
The fault-tolerant topology is important for multi-agent systems to complete the established objectives and tasks based on distributed cooperative control. The fault-tolerant topology of multi-agent systems is studied. A clustering algorithm based on weight is presented, and the hierarchical topology is constructed by distributed extraction of the virtual backbone network. A bi-connected network is realized using a distributed algorithm which combines articulation node-based algorithm with control of relay nodes on the basis of hierarchical structure. Application of the method to the networked fire-control system is represented. Experimental results show that the proposed methods enhance the fault tolerance of topology for multi-agent systems, which lays the foundations for the networked unmanned warfare theory into practice.