Performance Prescribed Cooperative Guidance Against Maneuvering Target Under Malicious Attacks
研究了多飞行器在虚假数据注入攻击下同时到达机动目标的协同制导问题，提出一种基于信誉的容错协同制导律，利用预设性能函数和信誉系统识别攻击并实现容错。
This article investigates the problem of cooperative guidance against maneuvering target under malicious attacks. In consideration of the false-data injection attacks (FDIAs), a reputation-based cooperative guidance law with fault tolerance is proposed to drive multiflight vehicles to reach a maneuvering target simultaneously. A novel prescribed performance function (PPF) with predefined-time convergence is presented by taking into account the limitation of available capacity. By incorporating the reputation system based on confidence factors and trust factors, which are leveraged to identify the attacked communication links or vehicle members, the fault-tolerant behavior can be achieved to resist the effects resulted from the FDIAs. The effectiveness of the reputation-based fault-tolerant cooperative guidance method is verified by numerical simulation.