列车控制系统的抗拒绝服务攻击弹性控制策略

当遭受拒绝服务(DoS)攻击时,分布式列车控制系统的弹性控制问题受到广泛关注.本文提出了一种基于分布式领导车状态观测器和障碍李雅普诺夫函数的弹性控制策略,不仅可以避免列车碰撞,同时实现了编队控制的目标.首先,给出了一种分布式的领导车状态观测器设计方法,用于实时估计领导车的状态.理论分析表明,在DoS攻击满足一定约束的条件下,该状态观测器的估计误差具有指数稳定特性.在此基础上,通过将列车碰撞避免问题转化为状态受限问题,提出一种基于障碍李雅普诺夫函数的状态受限控制律,解决了DoS攻击下确保碰撞避免的车队控制问题.最后,数值仿真证实了本文方法的有效性.

Resilient control strategy for the train control system against denial of service attacks

When suffering from the denial of service (DoS) attacks, the resilient control problem of distributed train control systems has attracted widespread attention. In this paper, a resilient control strategy based on the distributed state observer of the leader train and the barrier Lyapunov function is proposed, which can not only avoid train collisions, but also achieve the platoon control objective. Firstly, under DoS attacks, a distributed state observer of the leader train is proposed to estimate the states of the leader train in real time. Theoretical analysis shows that the estimated error of the state observer is exponentially stable on the condition that the DoS attack satisfies certain constraints. On this basis, by transforming the train collision avoidance problem into a state-constrained problem, a state-constrained control law based on the barrier Lyapunov function is proposed, which solves the resilient platoon control problem, to ensure collision avoidance under DoS attacks. Finally, numerical simulation confirms the effectiveness of the proposed method.