Theory and Key Technologies for Large-Scale Unmanned Aerial Vehicle Networked Control in Low-Altitude Digital Intelligence Networks

The networked control of large-scale unmanned aerial vehicles （UAVs） in low-altitude airspace is a prerequisite for the safe，efficient，and high-performance development of low-altitude information networks. However，the control efficiency and scale of traditional aviation management systems cannot meet the demands of large-scale UAV open services in the low-altitude economy. Additionally，traditional wireless communication networks based on information theory cannot achieve closed-loop control of large-scale UAVs. It is imperative to overcome theoretical and technological challenges to establish a new，safe，and efficient low-altitude digital intelligence network tailored for large-scale UAVs in low-altitude airspace. This paper will explore the theoretical challenges of integrating information theory and control theory in the construction of a low-altitude digital intelligence network，as well as key technologies such as closed-loop information flow interaction and networked control for large-scale UAV management. It will also propose a new approach for constructing a ubiquitous low-altitude digital intelligence network and introduce a cross-domain collaborative low-altitude flight management method to support real-time information interaction and efficient intelligent control of large-scale low-altitude UAVs.