本课题面向我国无人系统和移动自组网技术发展的重大需求，结合当前国内外无人航空器编队集群技术现状和发展趋势，开展飞行自组网基础理论与关键技术研究。研究非结构化环境下飞行自组网络拓扑生成、演化与重构问题，探索联合空间-时间二维条件下飞行自组织网络拓扑的稳定控制机理。综合运用集群模型、连通支配集理论和连通控制划分方法，对连通支配集在空时二维拓扑条件下的分析模型、构建方法和更新策略进行深入研究。拟开展：基于仿生学集群运动模型的飞行自组网拓扑建模；基于关键节点检测的飞行自组网拓扑发现与自愈机制；基于连通控制划分的飞行自组网拓扑演进与更新策略；基于时延容忍连通支配集的飞行自组网虚拟骨干网模型等研究内容，为无人航空器编队控制技术、智能计算方法和网络通信能力之间的匹配设计、实现高动态环境和复杂任务下可靠和高效数据通信奠定基础，促进无人航空器/无人系统、移动自组织网络和智能计算技术的协调融合发展。

In this project, we will solve a part of fundamental issues of topological control for a UAVs swarmed flying ad hoc network in high time-varying environments. In particular, we will work on the impacts on control procedure of topology by the swarming formation changing with time. In the study, we will develop the analytical framework and design effective strategy of constantly constructing, evolving and recovery of the time-varying topology, by using connected dominating set and connected domatic partition techniques. For realistic applications, moreover, we will establish a test-bed integrated software-and-hardware jointed platform for experimental simulations and tests for the proposed algorithms, strategies and architectures in the project. This work will help to explore the consistency between the capabilities of swarm intelligence and the effectiveness of supportive flying ad hoc network of the swarm team.