DoS攻击下网络化控制系统基于观测器的记忆型事件触发预测控制

Observer memory-based event-triggered predictive control for networked control systems under DoS attacks

本文研究了DoS攻击下网络化控制系统记忆型事件触发预测补偿控制问题.首先,由于网络带宽资源有限和系统状态不完全可观测性,引入了记忆型事件触发函数,为观测器提供离散事件触发传输方案.然后,分析了网络传输通道上发生的DoS攻击.结合上述记忆型事件触发方案,在控制节点设计一类新颖的预测控制算法,节省网络带宽资源并主动补偿DoS攻击.同时,建立了基于观测器的记忆型事件触发预测控制的闭环系统,并且分析稳定性.通过线性矩阵不等式(LMI)和Lyapunov稳定性理论,建立了控制器、观测器和记忆型事件触发矩阵的联合设计方案,并验证了该方案的可行性.仿真结果表明,该方案结合记忆型事件触发机制可以有效补偿DoS攻击,节约网络带宽资源.

In this paper,we study the memory-based event-triggered predictive control of networked control systems(NCSs)under DoS attacks.First,due to the limited network bandwidth resources and incomplete observability of the system state,a memory-based event-triggered function is introduced to provide a discrete event-triggered transmission scheme for the observer.Then,the DoS attacks occurring on the network transmission channel are analyzed.Combining the above memory-based event-triggering scheme,a novel class of predictive control algorithms is designed at the control node to save the network bandwidth resources and actively compensate for DoS attacks.Meanwhile,a closed-loop system of observer memory-based event-triggered predictive control is established and analyzed for stability.The design scheme of controller,observer and memory-based event-triggered matrix is established by linear matrix inequality(LMI)and Lyapunov stability theory,and the feasibility of the scheme is analyzed.The simulation results show that the scheme combined with the memory-based event-triggered mechanism can effectively compensate for the DoS attacks and save the network bandwidth resources.