Yin Tingting, Gu Zhou, Park Ju H
IEEE Trans Neural Netw Learn Syst. 2024 Jun;35(6):8336-8347. doi: 10.1109/TNNLS.2022.3227101. Epub 2024 Jun 3.
This article investigates the problem of event-based intermittent formation control for multi-UAV systems subject to deception attacks. Compared to the available research studies on multi-UAV systems with continuous control strategy, the proposed intermittent control strategy saves a large amount of computation resources. An average method is introduced in developing the event-triggered mechanism (ETM) such that the amount of unexpected triggering events induced by uncertain disturbances is greatly reduced. Moreover, such a mechanism can further decrease the average data-releasing rate, thereby alleviating the burden of network bandwidth. Sufficient conditions for multi-UAV systems with deception attacks to achieve the predefined formation are obtained with the aid of Lyapunov stability theory. Finally, the validity of the proposed theoretical results is demonstrated via a simulation example.
本文研究了受欺骗攻击的多无人机系统基于事件的间歇编队控制问题。与现有的采用连续控制策略的多无人机系统研究相比，所提出的间歇控制策略节省了大量的计算资源。在开发事件触发机制（ETM）时引入了一种平均方法，从而大大减少了由不确定干扰引起的意外触发事件的数量。此外，这种机制可以进一步降低平均数据释放率，从而减轻网络带宽的负担。借助李雅普诺夫稳定性理论，得到了受欺骗攻击的多无人机系统实现预定义编队的充分条件。最后，通过一个仿真例子验证了所提出理论结果的有效性。
