随着复杂网络理论与应用研究的深入，节点间的通信问题受到人们的广泛关注。先前基于周期发送数据的复杂网络要求所有节点同时发送采样数据。由于网络带宽的限制，这势必会造成更长的通信时滞、更大的丢包率，甚至造成网络拥塞。项目拟开展基于事件触发的复杂网络的研究工作，旨在尽可能减少网络中数据包的传输数量，优化有限的资源配置，提高系统的可靠性。研究内容由浅入深，以简单通信环境下事件触发复杂网络的一致性分析和同步控制为起点，探讨事件触发机制的设计问题；继而研究常规通信网络下事件触发复杂网络的建模、一致性分析和同步控制问题，构建事件触发复杂网络的理论研究框架；在建立系统性能评价指标的基础上，深入探讨系统的蜂拥控制、自适应协同控制的设计及相关控制优化问题；最后研究网络通信协议参数和事件触发函数的跨层优化设计问题。项目的研究成果将为无人驾驶飞行器编队、智能汽车驾驶系统等人工复杂网络的设计提供新的思路和理论依据。

With the deepening of research work on the theories and applications of complex networks, how to design appropriative mutual communicating protocols among the nodes has attracted a lot of researchers' concerns. It is required in the prior literatures of complex networks which are sampled periodly that all nodes should send the sampled data packets at the same time. Obviously, it will lead to longer time delays, a greater rate of data packet dropout, or even cause the network congestion, since the current network bandwidths are limited. In this proposal, we present an event-triggered mechanism to minimize the number of packets transmitting through the network, such that the configuration of the limited resources would be optimized and the reliability of the complex networks could be improved. We would focus on the topic that analysis and synthesis of even-triggered complex networks. Our research will begin from the easy to the difficult and complicated. Firstly, the consensus and synchronization of event-triggered complex networks involving simple time delays in the communication channels will be studied.The basic event-triggered mechanism will be designed. Secondly, we will model the event-triggered complex networks transmitting signal through the general communication channels, in which the time delays, packet dropout and stochastic disturbances will be considered. The consensus problem and synchronization control will be considered. Then, the theory framework of researching on event-triggered complex networks will be further developed. Thirdly, the performance evaluation schemes for the event-triggered complex networks will be proposed, and then, the flocking control, adaptive cooperative control and some control optimization methods for the complex system will be investigated, respectively. At last, the cross-layer optimization design method will be studied between the communication protocol parameters and the ones in the event-triggered function. The results achieved in this proposal will provide new ideas and theory supports for some artificial complex networks, such as the alignment of unmanned aerial vehicles, the intelligent driving systems, and so on.