本文研究了高速采样的情况下,含有网络攻击的信息物理系统多目标故障检测问题. 考虑系统同时存在时变时延、执行器网络攻击和传感器网络攻击,基于Delta算子对上述系统进行离散化处理,建立了在高速采样的条件下,故障与攻击并存的离散时间模型. 构造了H_/H-infinity故障检测滤波器,使系统具有对随机扰动的鲁棒性,且具有对检测信号的高灵敏性. 采用Lyapunov-Krasovskii泛函和线性矩阵不等式的方法,提出了系统具有渐近稳定性以及H_/H-infinity性能的充分条件. 仿真结果验证了所提方法的可行性和有效性.
In this paper, the problem of multi-target fault detection for Cyber-physical systems(CPSs) with cyber attacks is studied under the condition of high speed sampling. The CPS with time-varying delay, actuator cyber attack and sensor cyber attack is considered, and the system is discretized based on delta operator. Then a discrete-time model with fault and attack is established under high speed sampling. The H_/H-infinity fault detection filter is constructed, which makes the system robust to random disturbances and highly sensitive to the detected signals. The sufficient conditions which can guarantee the asymptotic stability and H_/H-infinity performance of the system are proposed by using Lyapunov-Krasovskii functional and linear matrix inequalities(LMIs) approach. The feasibility and effectiveness of the proposed method are verified by simulation results.