Output-Constrained Secured Tracking Control for Distributed Cyber–Physical Systems Against FDI Attacks
研究了网络化信息物理系统在系统不确定性、输出约束和恶意虚假数据注入攻击下的分布式跟踪问题，提出一种障碍跟踪误差概念，并结合反步法和神经网络设计了非奇异有限时间控制器，采用事件触发量化控制策略降低通信负担。
This article investigates the distributed tracking problem of networked cyber-physical systems (CPSs), considering system uncertainties, output constraints, and false data injection (FDI) attacks. Notably, the FDI attacks modeled here are explicitly malicious, meaning they are designed to cause the system to violate prescribed output constraints. Motivated by the lack of constrained-control studies addressing situations where the reference signal does not meet the constraint, we introduce a new form of tracking error, termed barrier tracking error (BTE). It is valuable that any conventional control scheme can be combined with the BTE idea to deal with output constraints. Subsequently, a nonsingular finite-time controller is developed using the backstepping method and neural networks. It is worth mentioning that the controller employs an event-triggered quantized control strategy, effectively reducing the burden on channels and actuators. Finally, comprehensive stability analysis and simulations are provided.