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

中文关键词  网络化控制系统  记忆型事件触发方案  预测控制  DoS攻击

英文关键词  networked control systems  memory-based event-triggered control  predictive control  DoS attacks

中文摘要

      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.

英文摘要

      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.