基于双层耦合网络的无人集群分布式系统模型

Unmanned Cluster Distributed SystemModel Based on Double-layer Coupling Network

改善现有无人集群系统实用化不足,需关注解决动态、自主、鲁棒、匹配和可扩展的多维平衡问题,研究设计提供多类算法耦合适配的基础架构。基于双层耦合网络的无人集群分布式系统模型,从信息交互视角出发,基于复杂网络演化模型相关理论,提出基于CDLW与H-CDLW演化模型的横纵解耦双层系统架构,设计了匹配的基于层次化交互控制的多目标融合拣选算法。仿真结果表明,基于双层解耦的交互控制,具备在动态、自主、鲁棒、匹配和可扩展等实用化目标多维均衡方面的优势,能够提供兼具匹配性和可扩展性的分层控制机制,具备成为一般性模型架构的基础。

For the purpose of improvement of the in-existence insufficient practicability of unmanned cluster system,such multidimensional balance problems as dynamics,autonomy,robustness,compatibility and extendibility should be concerned for solution.The study and design provides an infrastructure for the coupling adaptation of multiple classes of algorithms.From the perspective of information interactions,the unmanned cluster distributed system model based on double-layer coupling network is proposed by horizontal and vertical decoupling.Basing on relevant theories of complex network evolution models,the double-layer coupling network is proposed as the network evolution models based on CSLW and H-CDLW.And the matched method of selecting targets by information fusion of multi-objective is designed based on hierarchical interaction control.The simulation results show that of two-level decoupled interaction control is able to balance design objective of such multidimensional advantages as dynamics,autonomy,robustness,compatibility and extendibility and other practical objective and can realize hierarchical control mechanisms with both compatibility and extendibility can act as the basis for the general model architecture.