DoS攻击下基于切换增益的多车时滞系统安全一致性控制

    Secured Consensus Control for Multi-vehicle Time-delay Systems Based on Switching Gain Under DoS Attacks

    • 摘要: 联网电动汽车通过无线通信实现群体智能控制,但测量通道与控制通道在传输过程中易遭受拒绝服务攻击(Denial of Service, DoS),且车辆在运行中还会受到外部干扰和时滞影响,从而削弱横向控制性能。针对多车时滞系统在DoS攻击和参数不确定性共存下的安全一致性控制问题,本文设计了一种基于事件触发机制、具有切换增益的弹性分布式控制器。首先,建立考虑时变时滞的车辆横向控制系统模型,并根据是否遭受DoS攻击划分为正常模式和攻击模式两个子系统;为提高通信与控制资源利用率,引入事件触发机制更新控制输入。其次,为克服DoS结束时刻与事件触发采样点错位而导致的有效攻击时间被放大的问题,设计恢复时间补偿策略,用以覆盖触发裕度对应的等待时间。然后,通过推导多Lyapunov-Krasovskii泛函得到一组双线性矩阵不等式(Bilinear Matrix Inequality, BMI),求解可得到系统在不同模式下的期望反馈增益矩阵。最后,通过数值仿真验证了本文提出的控制方案在抵御DoS攻击、抑制干扰和提高车辆横向一致性方面的有效性。

       

      Abstract: Networked electric vehicles rely on wireless communication to achieve cooperative lateral motion control. However, the measurement and control channels are vulnerable to denial-of-service (DoS) attacks, and external disturbances together with communication delays can significantly degrade lateral control performance. In this research, an investigation is conducted on the secure consensus problem for a multi-vehicle lateral dynamics system with time delays and parametric uncertainties under DoS attacks, and an event-triggered resilient distributed controller with switching gains is designed. First, a time-delay model of the vehicle lateral dynamics is established, and the closed-loop system is represented as a switched system composed of a normal mode and a DoS-affected mode. To improve the utilization of communication and control resources, an event-triggered mechanism is introduced to determine the instants for updating the control inputs. Second, to overcome the enlargement of the effective attack duration caused by the misalignment between the termination of each DoS interval and the event-triggered sampling instants, a recovery-time compensation scheme is designed to cover the waiting time associated with the triggering margin. Then, by constructing multiple Lyapunov-Krasovskii functionals, a set of bilinear matrix inequalities (BMI) is derived, and their solution provides the desired feedback gain matrices for the system under different operating modes. Numerical simulations demonstrate that the proposed control scheme effectively withstands DoS attacks, suppresses external disturbances, and enhances the lateral consensus performance of vehicles.

       

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